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You searched for subject:(NEURAL NETWORK). Showing records 1 – 30 of 3563 total matches.

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Anna University

1. Baskaran T. Inflow and sediment yield modeling of Vaigai reservoir using analytical and neural network approach; -.

Degree: Civil Engineering, 2010, Anna University

Many Indian reservoirs have lost their storage capacities because of sedimentation. Many of these reservoirs are losing capacity at the rate of0.2 1.0% annually. The… (more)

Subjects/Keywords: Neural network

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APA (6th Edition):

T, B. (2010). Inflow and sediment yield modeling of Vaigai reservoir using analytical and neural network approach; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/9568

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

T, Baskaran. “Inflow and sediment yield modeling of Vaigai reservoir using analytical and neural network approach; -.” 2010. Thesis, Anna University. Accessed April 11, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/9568.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

T, Baskaran. “Inflow and sediment yield modeling of Vaigai reservoir using analytical and neural network approach; -.” 2010. Web. 11 Apr 2021.

Vancouver:

T B. Inflow and sediment yield modeling of Vaigai reservoir using analytical and neural network approach; -. [Internet] [Thesis]. Anna University; 2010. [cited 2021 Apr 11]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9568.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

T B. Inflow and sediment yield modeling of Vaigai reservoir using analytical and neural network approach; -. [Thesis]. Anna University; 2010. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9568

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

2. Da, Lina. SCREENING AND DESIGN CRITERIA FOR DIFFERENT SLANTED WELLS.

Degree: 2018, Penn State University

 Since the development of the oil industry, engineers have been working to improve the production of wells. In order to maximize the production of a… (more)

Subjects/Keywords: Artificial Neural Network

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APA (6th Edition):

Da, L. (2018). SCREENING AND DESIGN CRITERIA FOR DIFFERENT SLANTED WELLS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13008dul188

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Da, Lina. “SCREENING AND DESIGN CRITERIA FOR DIFFERENT SLANTED WELLS.” 2018. Thesis, Penn State University. Accessed April 11, 2021. https://submit-etda.libraries.psu.edu/catalog/13008dul188.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Da, Lina. “SCREENING AND DESIGN CRITERIA FOR DIFFERENT SLANTED WELLS.” 2018. Web. 11 Apr 2021.

Vancouver:

Da L. SCREENING AND DESIGN CRITERIA FOR DIFFERENT SLANTED WELLS. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Apr 11]. Available from: https://submit-etda.libraries.psu.edu/catalog/13008dul188.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Da L. SCREENING AND DESIGN CRITERIA FOR DIFFERENT SLANTED WELLS. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/13008dul188

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


California State University – Sacramento

3. Rawlani, Bhagyashree. Distracted driver detection using Capsule Network.

Degree: MS, Computer Science, 2019, California State University – Sacramento

 Convolutional neural networks are generally assumed to be the best neural networks for classifying images. In November 2017, Geoffrey Hinton et al. introduced another neural(more)

Subjects/Keywords: Convolutional neural network

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APA (6th Edition):

Rawlani, B. (2019). Distracted driver detection using Capsule Network. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/207659

Chicago Manual of Style (16th Edition):

Rawlani, Bhagyashree. “Distracted driver detection using Capsule Network.” 2019. Masters Thesis, California State University – Sacramento. Accessed April 11, 2021. http://hdl.handle.net/10211.3/207659.

MLA Handbook (7th Edition):

Rawlani, Bhagyashree. “Distracted driver detection using Capsule Network.” 2019. Web. 11 Apr 2021.

Vancouver:

Rawlani B. Distracted driver detection using Capsule Network. [Internet] [Masters thesis]. California State University – Sacramento; 2019. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/10211.3/207659.

Council of Science Editors:

Rawlani B. Distracted driver detection using Capsule Network. [Masters Thesis]. California State University – Sacramento; 2019. Available from: http://hdl.handle.net/10211.3/207659


Texas A&M University

4. Fan, David Dawei. Backpropagation for Continuous Theta Neuron Networks.

Degree: MS, Electrical Engineering, 2015, Texas A&M University

 The Theta neuron model is a spiking neuron model which, unlike traditional Leaky-Integrate-and-Fire neurons, can model spike latencies, threshold adaptation, bistability of resting and tonic… (more)

Subjects/Keywords: Spiking Neural Network; Backpropagation; Recurrent Neural Network; Neural Network; Theta Neuron

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APA (6th Edition):

Fan, D. D. (2015). Backpropagation for Continuous Theta Neuron Networks. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/186998

Chicago Manual of Style (16th Edition):

Fan, David Dawei. “Backpropagation for Continuous Theta Neuron Networks.” 2015. Masters Thesis, Texas A&M University. Accessed April 11, 2021. http://hdl.handle.net/1969.1/186998.

MLA Handbook (7th Edition):

Fan, David Dawei. “Backpropagation for Continuous Theta Neuron Networks.” 2015. Web. 11 Apr 2021.

Vancouver:

Fan DD. Backpropagation for Continuous Theta Neuron Networks. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1969.1/186998.

Council of Science Editors:

Fan DD. Backpropagation for Continuous Theta Neuron Networks. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/186998


NSYSU

5. Lin, Yi-Fan. A Generative Collaborative Network for Detection of Polyps in Endoscopic Images.

Degree: Master, Institute Of Electrical Engineering, 2018, NSYSU

 Cancer is the leading cause of death in Taiwan and colorectal cancer ranks first in the top 10 cancers of the years several times. The… (more)

Subjects/Keywords: Polyps Detection; Double Network; Transpose Convolution Neural Network; Neural Network; Convolution Neural Network

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APA (6th Edition):

Lin, Y. (2018). A Generative Collaborative Network for Detection of Polyps in Endoscopic Images. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803118-143818

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lin, Yi-Fan. “A Generative Collaborative Network for Detection of Polyps in Endoscopic Images.” 2018. Thesis, NSYSU. Accessed April 11, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803118-143818.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lin, Yi-Fan. “A Generative Collaborative Network for Detection of Polyps in Endoscopic Images.” 2018. Web. 11 Apr 2021.

Vancouver:

Lin Y. A Generative Collaborative Network for Detection of Polyps in Endoscopic Images. [Internet] [Thesis]. NSYSU; 2018. [cited 2021 Apr 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803118-143818.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin Y. A Generative Collaborative Network for Detection of Polyps in Endoscopic Images. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803118-143818

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Sydney

6. Qi, Yang. Anomalous neural pattern dynamics: formation mechanisms and functional roles .

Degree: 2018, University of Sydney

 Spatiotemporal activity patterns with complex dynamics have been widely observed in the cortex, but their formation mechanisms and functional roles remain unclear. In this thesis,… (more)

Subjects/Keywords: neural network; neural fields; anomalous diffusion

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APA (6th Edition):

Qi, Y. (2018). Anomalous neural pattern dynamics: formation mechanisms and functional roles . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/18808

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Qi, Yang. “Anomalous neural pattern dynamics: formation mechanisms and functional roles .” 2018. Thesis, University of Sydney. Accessed April 11, 2021. http://hdl.handle.net/2123/18808.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Qi, Yang. “Anomalous neural pattern dynamics: formation mechanisms and functional roles .” 2018. Web. 11 Apr 2021.

Vancouver:

Qi Y. Anomalous neural pattern dynamics: formation mechanisms and functional roles . [Internet] [Thesis]. University of Sydney; 2018. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/2123/18808.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qi Y. Anomalous neural pattern dynamics: formation mechanisms and functional roles . [Thesis]. University of Sydney; 2018. Available from: http://hdl.handle.net/2123/18808

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Tennessee – Knoxville

7. Zhao, Jiajia. Whetstone Trained Spiking Deep Neural Networks to Spiking Neural Networks.

Degree: MS, Computer Science, 2019, University of Tennessee – Knoxville

 A deep neural network is a non-spiking artificial neural network which uses multiple structured layers to extract features from the input. Spiking neural networks are… (more)

Subjects/Keywords: Spiking Neural Network; Deep Neural Network; Spiking Deep Neural Network; Machine Learning; Back Propagation; Tensorflow

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APA (6th Edition):

Zhao, J. (2019). Whetstone Trained Spiking Deep Neural Networks to Spiking Neural Networks. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/5536

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhao, Jiajia. “Whetstone Trained Spiking Deep Neural Networks to Spiking Neural Networks.” 2019. Thesis, University of Tennessee – Knoxville. Accessed April 11, 2021. https://trace.tennessee.edu/utk_gradthes/5536.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhao, Jiajia. “Whetstone Trained Spiking Deep Neural Networks to Spiking Neural Networks.” 2019. Web. 11 Apr 2021.

Vancouver:

Zhao J. Whetstone Trained Spiking Deep Neural Networks to Spiking Neural Networks. [Internet] [Thesis]. University of Tennessee – Knoxville; 2019. [cited 2021 Apr 11]. Available from: https://trace.tennessee.edu/utk_gradthes/5536.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhao J. Whetstone Trained Spiking Deep Neural Networks to Spiking Neural Networks. [Thesis]. University of Tennessee – Knoxville; 2019. Available from: https://trace.tennessee.edu/utk_gradthes/5536

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

8. Wang, Chi-hung. Apply Neural Network Techniques for Storm Surge Prediction.

Degree: Master, Marine Environment and Engineering, 2010, NSYSU

 Taiwan is often threaten by typhoon during summer and autumn. The surges brought by theses typhoons not only cause human lives in danger, but also… (more)

Subjects/Keywords: Neural Network; Typhoon; Surge

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APA (6th Edition):

Wang, C. (2010). Apply Neural Network Techniques for Storm Surge Prediction. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0302110-160617

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Chi-hung. “Apply Neural Network Techniques for Storm Surge Prediction.” 2010. Thesis, NSYSU. Accessed April 11, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0302110-160617.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Chi-hung. “Apply Neural Network Techniques for Storm Surge Prediction.” 2010. Web. 11 Apr 2021.

Vancouver:

Wang C. Apply Neural Network Techniques for Storm Surge Prediction. [Internet] [Thesis]. NSYSU; 2010. [cited 2021 Apr 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0302110-160617.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang C. Apply Neural Network Techniques for Storm Surge Prediction. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0302110-160617

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Dalhousie University

9. Higgins, Jenna. A Neural Network Growth and Yield Model for Nova Scotia Forests.

Degree: Master of Applied Science, Department of Industrial Engineering, 2011, Dalhousie University

 Forest growth models are important to the forestry community because they provide means for predicting future yields and exploring different forest management practices. The purpose… (more)

Subjects/Keywords: Neural network; Forest growth model

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APA (6th Edition):

Higgins, J. (2011). A Neural Network Growth and Yield Model for Nova Scotia Forests. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/13886

Chicago Manual of Style (16th Edition):

Higgins, Jenna. “A Neural Network Growth and Yield Model for Nova Scotia Forests.” 2011. Masters Thesis, Dalhousie University. Accessed April 11, 2021. http://hdl.handle.net/10222/13886.

MLA Handbook (7th Edition):

Higgins, Jenna. “A Neural Network Growth and Yield Model for Nova Scotia Forests.” 2011. Web. 11 Apr 2021.

Vancouver:

Higgins J. A Neural Network Growth and Yield Model for Nova Scotia Forests. [Internet] [Masters thesis]. Dalhousie University; 2011. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/10222/13886.

Council of Science Editors:

Higgins J. A Neural Network Growth and Yield Model for Nova Scotia Forests. [Masters Thesis]. Dalhousie University; 2011. Available from: http://hdl.handle.net/10222/13886


Cornell University

10. Golden, James. A Unified Approach To The Nonlinearities Of Visual Neurons: The Curved Geometry Of Neural Response Surfaces.

Degree: PhD, Psychology, 2015, Cornell University

 The responses of visual cortical neurons are highly nonlinear functions of image stimuli. I present a geometric view of these nonlinear responses and classify them… (more)

Subjects/Keywords: neuroscience; vision; neural network

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APA (6th Edition):

Golden, J. (2015). A Unified Approach To The Nonlinearities Of Visual Neurons: The Curved Geometry Of Neural Response Surfaces. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/41113

Chicago Manual of Style (16th Edition):

Golden, James. “A Unified Approach To The Nonlinearities Of Visual Neurons: The Curved Geometry Of Neural Response Surfaces.” 2015. Doctoral Dissertation, Cornell University. Accessed April 11, 2021. http://hdl.handle.net/1813/41113.

MLA Handbook (7th Edition):

Golden, James. “A Unified Approach To The Nonlinearities Of Visual Neurons: The Curved Geometry Of Neural Response Surfaces.” 2015. Web. 11 Apr 2021.

Vancouver:

Golden J. A Unified Approach To The Nonlinearities Of Visual Neurons: The Curved Geometry Of Neural Response Surfaces. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1813/41113.

Council of Science Editors:

Golden J. A Unified Approach To The Nonlinearities Of Visual Neurons: The Curved Geometry Of Neural Response Surfaces. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41113


Vanderbilt University

11. Gray, Tami Michelle. Automatic Volcanic Ash Detection from MODIS Observations using a Back-Propagation Neural Network.

Degree: MS, Earth and Environmental Sciences, 2015, Vanderbilt University

 Due to the climate effects and aviation threats of volcanic eruptions, it is important to accurately locate ash in the atmosphere. This study aims to… (more)

Subjects/Keywords: neural network; volcanic ash; MODIS

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APA (6th Edition):

Gray, T. M. (2015). Automatic Volcanic Ash Detection from MODIS Observations using a Back-Propagation Neural Network. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10948

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gray, Tami Michelle. “Automatic Volcanic Ash Detection from MODIS Observations using a Back-Propagation Neural Network.” 2015. Thesis, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/10948.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gray, Tami Michelle. “Automatic Volcanic Ash Detection from MODIS Observations using a Back-Propagation Neural Network.” 2015. Web. 11 Apr 2021.

Vancouver:

Gray TM. Automatic Volcanic Ash Detection from MODIS Observations using a Back-Propagation Neural Network. [Internet] [Thesis]. Vanderbilt University; 2015. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/10948.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gray TM. Automatic Volcanic Ash Detection from MODIS Observations using a Back-Propagation Neural Network. [Thesis]. Vanderbilt University; 2015. Available from: http://hdl.handle.net/1803/10948

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Edinburgh

12. Ge, Mengtian. Statistical Parametric Speech Synthesis Using Deep Neural Network.

Degree: 2013, University of Edinburgh

 In this work, we implement a deep neural network for the text-to-speech system. We have tried different parameter settings for the DNN layers and units,… (more)

Subjects/Keywords: Deep Neural Network; Speech Synthesis

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APA (6th Edition):

Ge, M. (2013). Statistical Parametric Speech Synthesis Using Deep Neural Network. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8658

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ge, Mengtian. “Statistical Parametric Speech Synthesis Using Deep Neural Network.” 2013. Thesis, University of Edinburgh. Accessed April 11, 2021. http://hdl.handle.net/1842/8658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ge, Mengtian. “Statistical Parametric Speech Synthesis Using Deep Neural Network.” 2013. Web. 11 Apr 2021.

Vancouver:

Ge M. Statistical Parametric Speech Synthesis Using Deep Neural Network. [Internet] [Thesis]. University of Edinburgh; 2013. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1842/8658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ge M. Statistical Parametric Speech Synthesis Using Deep Neural Network. [Thesis]. University of Edinburgh; 2013. Available from: http://hdl.handle.net/1842/8658

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

13. Wang, Han. Modelling and Optimization of a Pilot-Scale Entrained Flow gasifier using Artificial Neural Networks.

Degree: 2020, University of Waterloo

 In this research, the construction and validation of both ANN and RNN models was presented to accurately and efficiently predict both steady state and dynamic… (more)

Subjects/Keywords: modeling; gasifier; artificial neural network

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APA (6th Edition):

Wang, H. (2020). Modelling and Optimization of a Pilot-Scale Entrained Flow gasifier using Artificial Neural Networks. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15681

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Han. “Modelling and Optimization of a Pilot-Scale Entrained Flow gasifier using Artificial Neural Networks.” 2020. Thesis, University of Waterloo. Accessed April 11, 2021. http://hdl.handle.net/10012/15681.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Han. “Modelling and Optimization of a Pilot-Scale Entrained Flow gasifier using Artificial Neural Networks.” 2020. Web. 11 Apr 2021.

Vancouver:

Wang H. Modelling and Optimization of a Pilot-Scale Entrained Flow gasifier using Artificial Neural Networks. [Internet] [Thesis]. University of Waterloo; 2020. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/10012/15681.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang H. Modelling and Optimization of a Pilot-Scale Entrained Flow gasifier using Artificial Neural Networks. [Thesis]. University of Waterloo; 2020. Available from: http://hdl.handle.net/10012/15681

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Nairobi

14. Onyango, Paschal O. Maize crop yield prediction through reinforcement learning, artificial neural network and alert messages generation .

Degree: 2012, University of Nairobi

 Most of the medium and small-scale Kenyan farmers rely on metrological department for weather information and subsequently also rely on the ministry of agriculture to… (more)

Subjects/Keywords: Maize Crop; Artificial Neural Network

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APA (6th Edition):

Onyango, P. O. (2012). Maize crop yield prediction through reinforcement learning, artificial neural network and alert messages generation . (Thesis). University of Nairobi. Retrieved from http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/23395

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Onyango, Paschal O. “Maize crop yield prediction through reinforcement learning, artificial neural network and alert messages generation .” 2012. Thesis, University of Nairobi. Accessed April 11, 2021. http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/23395.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Onyango, Paschal O. “Maize crop yield prediction through reinforcement learning, artificial neural network and alert messages generation .” 2012. Web. 11 Apr 2021.

Vancouver:

Onyango PO. Maize crop yield prediction through reinforcement learning, artificial neural network and alert messages generation . [Internet] [Thesis]. University of Nairobi; 2012. [cited 2021 Apr 11]. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/23395.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Onyango PO. Maize crop yield prediction through reinforcement learning, artificial neural network and alert messages generation . [Thesis]. University of Nairobi; 2012. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/23395

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Manitoba

15. Bhide, Ashlesha. An Artificial neural network-based signal classifier for automated identification of detection signals from a dielectrophoretic cytometer.

Degree: Electrical and Computer Engineering, 2014, University of Manitoba

 An automated signal classifier and a semi-automated signal identifier are designed for collecting the dielectrophoretic signatures of cells flowing through a dielectrophoretic cytometer. In past… (more)

Subjects/Keywords: Artificial Neural Network; DEP

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APA (6th Edition):

Bhide, A. (2014). An Artificial neural network-based signal classifier for automated identification of detection signals from a dielectrophoretic cytometer. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/23318

Chicago Manual of Style (16th Edition):

Bhide, Ashlesha. “An Artificial neural network-based signal classifier for automated identification of detection signals from a dielectrophoretic cytometer.” 2014. Masters Thesis, University of Manitoba. Accessed April 11, 2021. http://hdl.handle.net/1993/23318.

MLA Handbook (7th Edition):

Bhide, Ashlesha. “An Artificial neural network-based signal classifier for automated identification of detection signals from a dielectrophoretic cytometer.” 2014. Web. 11 Apr 2021.

Vancouver:

Bhide A. An Artificial neural network-based signal classifier for automated identification of detection signals from a dielectrophoretic cytometer. [Internet] [Masters thesis]. University of Manitoba; 2014. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1993/23318.

Council of Science Editors:

Bhide A. An Artificial neural network-based signal classifier for automated identification of detection signals from a dielectrophoretic cytometer. [Masters Thesis]. University of Manitoba; 2014. Available from: http://hdl.handle.net/1993/23318


University of Toronto

16. Siu, Kevin. Reducing Off-chip Memory Accesses in Deep Neural Network Accelerators.

Degree: 2019, University of Toronto

The popularity of deep neural networks (DNNs) has led to widespread development of specialized hardware for accelerating their computations. Many designs employ a memory system… (more)

Subjects/Keywords: Hardware Accelerator; Neural Network; 0464

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APA (6th Edition):

Siu, K. (2019). Reducing Off-chip Memory Accesses in Deep Neural Network Accelerators. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/98351

Chicago Manual of Style (16th Edition):

Siu, Kevin. “Reducing Off-chip Memory Accesses in Deep Neural Network Accelerators.” 2019. Masters Thesis, University of Toronto. Accessed April 11, 2021. http://hdl.handle.net/1807/98351.

MLA Handbook (7th Edition):

Siu, Kevin. “Reducing Off-chip Memory Accesses in Deep Neural Network Accelerators.” 2019. Web. 11 Apr 2021.

Vancouver:

Siu K. Reducing Off-chip Memory Accesses in Deep Neural Network Accelerators. [Internet] [Masters thesis]. University of Toronto; 2019. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1807/98351.

Council of Science Editors:

Siu K. Reducing Off-chip Memory Accesses in Deep Neural Network Accelerators. [Masters Thesis]. University of Toronto; 2019. Available from: http://hdl.handle.net/1807/98351


University of Illinois – Chicago

17. Miglionico, Marco. A Deep Learning Framework for Air Pollution Forecasting and Interpolation.

Degree: 2019, University of Illinois – Chicago

 Air pollution has been identified as the world's largest single environmental health risks by the World Health Organization. Real time air-quality information is necessary, to… (more)

Subjects/Keywords: Neural Network; Pollution; Forecasting; Interpoaltion

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APA (6th Edition):

Miglionico, M. (2019). A Deep Learning Framework for Air Pollution Forecasting and Interpolation. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/23862

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Miglionico, Marco. “A Deep Learning Framework for Air Pollution Forecasting and Interpolation.” 2019. Thesis, University of Illinois – Chicago. Accessed April 11, 2021. http://hdl.handle.net/10027/23862.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Miglionico, Marco. “A Deep Learning Framework for Air Pollution Forecasting and Interpolation.” 2019. Web. 11 Apr 2021.

Vancouver:

Miglionico M. A Deep Learning Framework for Air Pollution Forecasting and Interpolation. [Internet] [Thesis]. University of Illinois – Chicago; 2019. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/10027/23862.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Miglionico M. A Deep Learning Framework for Air Pollution Forecasting and Interpolation. [Thesis]. University of Illinois – Chicago; 2019. Available from: http://hdl.handle.net/10027/23862

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Darch, Henry. Neural network activity during visuomotor adaptation.

Degree: PhD, 2019, University of Bristol

 The vertebrate brain can rapidly adjust voluntary movements in response to errors through a process of trial-by-trial motor adaptation. There are several regions of the… (more)

Subjects/Keywords: Motor Adaptation; Cerebellum; Neural Network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Darch, H. (2019). Neural network activity during visuomotor adaptation. (Doctoral Dissertation). University of Bristol. Retrieved from http://hdl.handle.net/1983/09fa5d20-4732-4d80-90a5-0982e41a7ead

Chicago Manual of Style (16th Edition):

Darch, Henry. “Neural network activity during visuomotor adaptation.” 2019. Doctoral Dissertation, University of Bristol. Accessed April 11, 2021. http://hdl.handle.net/1983/09fa5d20-4732-4d80-90a5-0982e41a7ead.

MLA Handbook (7th Edition):

Darch, Henry. “Neural network activity during visuomotor adaptation.” 2019. Web. 11 Apr 2021.

Vancouver:

Darch H. Neural network activity during visuomotor adaptation. [Internet] [Doctoral dissertation]. University of Bristol; 2019. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1983/09fa5d20-4732-4d80-90a5-0982e41a7ead.

Council of Science Editors:

Darch H. Neural network activity during visuomotor adaptation. [Doctoral Dissertation]. University of Bristol; 2019. Available from: http://hdl.handle.net/1983/09fa5d20-4732-4d80-90a5-0982e41a7ead


KTH

19. Eriksson, Jens. Chord and modality analysis.

Degree: Speech Communication and Technology, 2016, KTH

The way humans listen to music and perceive its structure isautomatic. In an attempt by Friberg et al. (2011) to model thishuman perception mechanism,… (more)

Subjects/Keywords: Chord analysis; neural network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Eriksson, J. (2016). Chord and modality analysis. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189437

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Eriksson, Jens. “Chord and modality analysis.” 2016. Thesis, KTH. Accessed April 11, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189437.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Eriksson, Jens. “Chord and modality analysis.” 2016. Web. 11 Apr 2021.

Vancouver:

Eriksson J. Chord and modality analysis. [Internet] [Thesis]. KTH; 2016. [cited 2021 Apr 11]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189437.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Eriksson J. Chord and modality analysis. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189437

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. Grbic, Nedelko. Development of a General Purpose On-Line Update Multiple Layer Feedforward Backpropagation Neural Network.

Degree: 1997, , Department of Signal Processing

  This Master thesis deals with the complete understanding and creation of a 3-layer Backpropagation Neural Network with synaptic weight update performed on a per… (more)

Subjects/Keywords: Neural network

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APA (6th Edition):

Grbic, N. (1997). Development of a General Purpose On-Line Update Multiple Layer Feedforward Backpropagation Neural Network. (Thesis). , Department of Signal Processing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5415

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Grbic, Nedelko. “Development of a General Purpose On-Line Update Multiple Layer Feedforward Backpropagation Neural Network.” 1997. Thesis, , Department of Signal Processing. Accessed April 11, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5415.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Grbic, Nedelko. “Development of a General Purpose On-Line Update Multiple Layer Feedforward Backpropagation Neural Network.” 1997. Web. 11 Apr 2021.

Vancouver:

Grbic N. Development of a General Purpose On-Line Update Multiple Layer Feedforward Backpropagation Neural Network. [Internet] [Thesis]. , Department of Signal Processing; 1997. [cited 2021 Apr 11]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5415.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Grbic N. Development of a General Purpose On-Line Update Multiple Layer Feedforward Backpropagation Neural Network. [Thesis]. , Department of Signal Processing; 1997. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5415

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Ma, Rui. Parametric Speech Emotion Recognition Using Neural Network.

Degree: Mathematics and Natural Sciences, 2014, University of Gävle

  The aim of this thesis work is to investigate the algorithm of speech emotion recognition using MATLAB. Firstly, five most commonly used features are… (more)

Subjects/Keywords: Speech Emotion; Neural Network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ma, R. (2014). Parametric Speech Emotion Recognition Using Neural Network. (Thesis). University of Gävle. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17694

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ma, Rui. “Parametric Speech Emotion Recognition Using Neural Network.” 2014. Thesis, University of Gävle. Accessed April 11, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17694.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ma, Rui. “Parametric Speech Emotion Recognition Using Neural Network.” 2014. Web. 11 Apr 2021.

Vancouver:

Ma R. Parametric Speech Emotion Recognition Using Neural Network. [Internet] [Thesis]. University of Gävle; 2014. [cited 2021 Apr 11]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17694.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ma R. Parametric Speech Emotion Recognition Using Neural Network. [Thesis]. University of Gävle; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17694

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Victoria

22. Odense, Simon. Universal approximation theory of neural networks.

Degree: Department of Mathematics and Statistics, 2016, University of Victoria

 Historically, artificial neural networks have been loosely defined as biologically inspired computational models. When deciding what sort of network to use for a given task… (more)

Subjects/Keywords: Neural Network; RTRBM; Universal Approximation

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APA (6th Edition):

Odense, S. (2016). Universal approximation theory of neural networks. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7040

Chicago Manual of Style (16th Edition):

Odense, Simon. “Universal approximation theory of neural networks.” 2016. Masters Thesis, University of Victoria. Accessed April 11, 2021. http://hdl.handle.net/1828/7040.

MLA Handbook (7th Edition):

Odense, Simon. “Universal approximation theory of neural networks.” 2016. Web. 11 Apr 2021.

Vancouver:

Odense S. Universal approximation theory of neural networks. [Internet] [Masters thesis]. University of Victoria; 2016. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1828/7040.

Council of Science Editors:

Odense S. Universal approximation theory of neural networks. [Masters Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7040


University of Notre Dame

23. Gregory James Davis. Modeling the Symbolic Control of Visual Attention</h1>.

Degree: Computer Science and Engineering, 2014, University of Notre Dame

  Humans use a variety of perceptual and conceptual symbols to orient visuo- spatial attention around the visual field. Much of the research investigating the… (more)

Subjects/Keywords: Attention Modeling Neural Network

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APA (6th Edition):

Davis, G. J. (2014). Modeling the Symbolic Control of Visual Attention</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/rb68x922w14

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Davis, Gregory James. “Modeling the Symbolic Control of Visual Attention</h1>.” 2014. Thesis, University of Notre Dame. Accessed April 11, 2021. https://curate.nd.edu/show/rb68x922w14.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Davis, Gregory James. “Modeling the Symbolic Control of Visual Attention</h1>.” 2014. Web. 11 Apr 2021.

Vancouver:

Davis GJ. Modeling the Symbolic Control of Visual Attention</h1>. [Internet] [Thesis]. University of Notre Dame; 2014. [cited 2021 Apr 11]. Available from: https://curate.nd.edu/show/rb68x922w14.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Davis GJ. Modeling the Symbolic Control of Visual Attention</h1>. [Thesis]. University of Notre Dame; 2014. Available from: https://curate.nd.edu/show/rb68x922w14

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

24. Yeh, Raymond Alexander. Stable and symmetric convolutional neural network.

Degree: MS, Electrical & Computer Engr, 2016, University of Illinois – Urbana-Champaign

 First we present a proof that convolutional neural networks (CNNs) with max-norm regularization, max-pooling, and Relu non-linearity are stable to additive noise. Second, we explore… (more)

Subjects/Keywords: convolutional neural network; deep learning

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APA (6th Edition):

Yeh, R. A. (2016). Stable and symmetric convolutional neural network. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/92687

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yeh, Raymond Alexander. “Stable and symmetric convolutional neural network.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed April 11, 2021. http://hdl.handle.net/2142/92687.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yeh, Raymond Alexander. “Stable and symmetric convolutional neural network.” 2016. Web. 11 Apr 2021.

Vancouver:

Yeh RA. Stable and symmetric convolutional neural network. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/2142/92687.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yeh RA. Stable and symmetric convolutional neural network. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/92687

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

25. Zhu, Tianyilin. Lipreading with convolutional and recurrent neural network models.

Degree: MS, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 Lip reading is the process of speech recognition from solely visual information. The goal of this thesis is to perform a silence vs. speech classification,… (more)

Subjects/Keywords: Lipreading; Convolutional neural network

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APA (6th Edition):

Zhu, T. (2017). Lipreading with convolutional and recurrent neural network models. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97763

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhu, Tianyilin. “Lipreading with convolutional and recurrent neural network models.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed April 11, 2021. http://hdl.handle.net/2142/97763.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhu, Tianyilin. “Lipreading with convolutional and recurrent neural network models.” 2017. Web. 11 Apr 2021.

Vancouver:

Zhu T. Lipreading with convolutional and recurrent neural network models. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/2142/97763.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhu T. Lipreading with convolutional and recurrent neural network models. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97763

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Kansas State University

26. Clayton, Jacob. Examining Bindley Field, Hodgeman County Kansas and surrounding areas for productive lithofacies using an artificial neural network model.

Degree: MS, Department of Geology, 2018, Kansas State University

 The Meramec member of Mississippian age is a proficient oil and gas producing formation within the midcontinent region of the United States. It is produced… (more)

Subjects/Keywords: Artificial neural network; Mississippian; Meramec

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APA (6th Edition):

Clayton, J. (2018). Examining Bindley Field, Hodgeman County Kansas and surrounding areas for productive lithofacies using an artificial neural network model. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/38547

Chicago Manual of Style (16th Edition):

Clayton, Jacob. “Examining Bindley Field, Hodgeman County Kansas and surrounding areas for productive lithofacies using an artificial neural network model.” 2018. Masters Thesis, Kansas State University. Accessed April 11, 2021. http://hdl.handle.net/2097/38547.

MLA Handbook (7th Edition):

Clayton, Jacob. “Examining Bindley Field, Hodgeman County Kansas and surrounding areas for productive lithofacies using an artificial neural network model.” 2018. Web. 11 Apr 2021.

Vancouver:

Clayton J. Examining Bindley Field, Hodgeman County Kansas and surrounding areas for productive lithofacies using an artificial neural network model. [Internet] [Masters thesis]. Kansas State University; 2018. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/2097/38547.

Council of Science Editors:

Clayton J. Examining Bindley Field, Hodgeman County Kansas and surrounding areas for productive lithofacies using an artificial neural network model. [Masters Thesis]. Kansas State University; 2018. Available from: http://hdl.handle.net/2097/38547

27. Md Kamal, Mahanijah. Intelligent fault detection and isolation for proton exchange membrane fuel cell systems.

Degree: PhD, 2014, Liverpool John Moores University

 This work presents a new approach for detecting and isolating faults in nonlinear processes using independent neural network models. In this approach, an independent neural(more)

Subjects/Keywords: 621.381; Fault diagnosis; neural network

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APA (6th Edition):

Md Kamal, M. (2014). Intelligent fault detection and isolation for proton exchange membrane fuel cell systems. (Doctoral Dissertation). Liverpool John Moores University. Retrieved from https://doi.org/10.24377/LJMU.t.00004574 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617384

Chicago Manual of Style (16th Edition):

Md Kamal, Mahanijah. “Intelligent fault detection and isolation for proton exchange membrane fuel cell systems.” 2014. Doctoral Dissertation, Liverpool John Moores University. Accessed April 11, 2021. https://doi.org/10.24377/LJMU.t.00004574 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617384.

MLA Handbook (7th Edition):

Md Kamal, Mahanijah. “Intelligent fault detection and isolation for proton exchange membrane fuel cell systems.” 2014. Web. 11 Apr 2021.

Vancouver:

Md Kamal M. Intelligent fault detection and isolation for proton exchange membrane fuel cell systems. [Internet] [Doctoral dissertation]. Liverpool John Moores University; 2014. [cited 2021 Apr 11]. Available from: https://doi.org/10.24377/LJMU.t.00004574 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617384.

Council of Science Editors:

Md Kamal M. Intelligent fault detection and isolation for proton exchange membrane fuel cell systems. [Doctoral Dissertation]. Liverpool John Moores University; 2014. Available from: https://doi.org/10.24377/LJMU.t.00004574 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617384


University of Bristol

28. Darch, Henry. Neural network activity during visuomotor adaptation.

Degree: PhD, 2019, University of Bristol

 The vertebrate brain can rapidly adjust voluntary movements in response to errors through a process of trial-by-trial motor adaptation. There are several regions of the… (more)

Subjects/Keywords: Motor Adaptation; Cerebellum; Neural Network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Darch, H. (2019). Neural network activity during visuomotor adaptation. (Doctoral Dissertation). University of Bristol. Retrieved from https://research-information.bris.ac.uk/en/studentTheses/09fa5d20-4732-4d80-90a5-0982e41a7ead ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774458

Chicago Manual of Style (16th Edition):

Darch, Henry. “Neural network activity during visuomotor adaptation.” 2019. Doctoral Dissertation, University of Bristol. Accessed April 11, 2021. https://research-information.bris.ac.uk/en/studentTheses/09fa5d20-4732-4d80-90a5-0982e41a7ead ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774458.

MLA Handbook (7th Edition):

Darch, Henry. “Neural network activity during visuomotor adaptation.” 2019. Web. 11 Apr 2021.

Vancouver:

Darch H. Neural network activity during visuomotor adaptation. [Internet] [Doctoral dissertation]. University of Bristol; 2019. [cited 2021 Apr 11]. Available from: https://research-information.bris.ac.uk/en/studentTheses/09fa5d20-4732-4d80-90a5-0982e41a7ead ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774458.

Council of Science Editors:

Darch H. Neural network activity during visuomotor adaptation. [Doctoral Dissertation]. University of Bristol; 2019. Available from: https://research-information.bris.ac.uk/en/studentTheses/09fa5d20-4732-4d80-90a5-0982e41a7ead ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774458


Lehigh University

29. Ran, Ran. signSARAH: a lower cost optimization algorithm for Neural Network with the large scale dataset.

Degree: MS, Information and Systems Engineering, 2020, Lehigh University

In recent studies, machine learning has become a trending field involving mathematics, statistics, computer science and so on. However, when we were using machine learning to predicate in real world problems, the large amount of data usually make negative Advisors/Committee Members: Martin Taká?.

Subjects/Keywords: Neural Network; Optimization; Computer Engineering

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APA (6th Edition):

Ran, R. (2020). signSARAH: a lower cost optimization algorithm for Neural Network with the large scale dataset. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/5787

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ran, Ran. “signSARAH: a lower cost optimization algorithm for Neural Network with the large scale dataset.” 2020. Thesis, Lehigh University. Accessed April 11, 2021. https://preserve.lehigh.edu/etd/5787.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ran, Ran. “signSARAH: a lower cost optimization algorithm for Neural Network with the large scale dataset.” 2020. Web. 11 Apr 2021.

Vancouver:

Ran R. signSARAH: a lower cost optimization algorithm for Neural Network with the large scale dataset. [Internet] [Thesis]. Lehigh University; 2020. [cited 2021 Apr 11]. Available from: https://preserve.lehigh.edu/etd/5787.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ran R. signSARAH: a lower cost optimization algorithm for Neural Network with the large scale dataset. [Thesis]. Lehigh University; 2020. Available from: https://preserve.lehigh.edu/etd/5787

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

30. -9492-3903. Quadcopter stabilization with neural network.

Degree: MSin Engineering, Electrical and Computer engineering, 2016, University of Texas – Austin

 UAVs (Unmanned Aerial Vehicle), also known as drones, are becoming attractive in the consumer space due to their relatively low cost and their ability to… (more)

Subjects/Keywords: Quadcopter; PID; Neural network; Stabilization

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APA (6th Edition):

-9492-3903. (2016). Quadcopter stabilization with neural network. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45875

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Chicago Manual of Style (16th Edition):

-9492-3903. “Quadcopter stabilization with neural network.” 2016. Masters Thesis, University of Texas – Austin. Accessed April 11, 2021. http://hdl.handle.net/2152/45875.

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Author name may be incomplete

MLA Handbook (7th Edition):

-9492-3903. “Quadcopter stabilization with neural network.” 2016. Web. 11 Apr 2021.

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Author name may be incomplete

Vancouver:

-9492-3903. Quadcopter stabilization with neural network. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/2152/45875.

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Author name may be incomplete

Council of Science Editors:

-9492-3903. Quadcopter stabilization with neural network. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45875

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

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