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You searched for subject:(Biological Neural Network). Showing records 1 – 18 of 18 total matches.

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Anna University

1. Nirmala Devi, M. VLSI realization of artificial neural Networks using digital and mixed Signal hardware; -.

Degree: Information and Communication Engineering, 2014, Anna University

A Biological Neural Network BNN forms the Central Nervous newlineSystem which has highly interconnected neurons to co ordinate all the newlinefunctions like reading and thinking… (more)

Subjects/Keywords: Artificial Neural Networks; Biological Neural Network; Central Nervous System; Very Large Scale Integration

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APA (6th Edition):

Nirmala Devi, M. (2014). VLSI realization of artificial neural Networks using digital and mixed Signal hardware; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/26986

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):

Nirmala Devi, M. “VLSI realization of artificial neural Networks using digital and mixed Signal hardware; -.” 2014. Thesis, Anna University. Accessed September 18, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/26986.

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

MLA Handbook (7th Edition):

Nirmala Devi, M. “VLSI realization of artificial neural Networks using digital and mixed Signal hardware; -.” 2014. Web. 18 Sep 2020.

Vancouver:

Nirmala Devi M. VLSI realization of artificial neural Networks using digital and mixed Signal hardware; -. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Sep 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26986.

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

Council of Science Editors:

Nirmala Devi M. VLSI realization of artificial neural Networks using digital and mixed Signal hardware; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26986

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


University of Edinburgh

2. Gonos, Theophile. Bio-inspired adaptive sensing.

Degree: PhD, 2012, University of Edinburgh

 Sensor array calibration is a major problem in engineering, to which a biological approach may provide alternative solutions. For animals, perception is relative. The aim… (more)

Subjects/Keywords: 502.85; homeostasis; biological neural network; adaptive perception; biomimetic robotics; emergent behaviour; sensor calibration; embodied cognition

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APA (6th Edition):

Gonos, T. (2012). Bio-inspired adaptive sensing. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/6217

Chicago Manual of Style (16th Edition):

Gonos, Theophile. “Bio-inspired adaptive sensing.” 2012. Doctoral Dissertation, University of Edinburgh. Accessed September 18, 2020. http://hdl.handle.net/1842/6217.

MLA Handbook (7th Edition):

Gonos, Theophile. “Bio-inspired adaptive sensing.” 2012. Web. 18 Sep 2020.

Vancouver:

Gonos T. Bio-inspired adaptive sensing. [Internet] [Doctoral dissertation]. University of Edinburgh; 2012. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1842/6217.

Council of Science Editors:

Gonos T. Bio-inspired adaptive sensing. [Doctoral Dissertation]. University of Edinburgh; 2012. Available from: http://hdl.handle.net/1842/6217


University of Waterloo

3. Xu, David. Biologically Plausible Neural Learning using Symmetric Predictive Estimators.

Degree: 2016, University of Waterloo

 A predictive estimator (PE) is a neural microcircuit hypothesized to explain how the brain processes certain types of information. They participate in a hierarchy, passing… (more)

Subjects/Keywords: predictive coding; neural networks; computational neuroscience; predictive estimators; biological plausibility; perceptual network

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APA (6th Edition):

Xu, D. (2016). Biologically Plausible Neural Learning using Symmetric Predictive Estimators. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10612

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):

Xu, David. “Biologically Plausible Neural Learning using Symmetric Predictive Estimators.” 2016. Thesis, University of Waterloo. Accessed September 18, 2020. http://hdl.handle.net/10012/10612.

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

MLA Handbook (7th Edition):

Xu, David. “Biologically Plausible Neural Learning using Symmetric Predictive Estimators.” 2016. Web. 18 Sep 2020.

Vancouver:

Xu D. Biologically Plausible Neural Learning using Symmetric Predictive Estimators. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/10012/10612.

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

Council of Science Editors:

Xu D. Biologically Plausible Neural Learning using Symmetric Predictive Estimators. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10612

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


University of Manchester

4. Wijekoon, Jayawan. Mixed Signal VLSI Circuit Implementation of the Cortical Microcircuit Models.

Degree: 2011, University of Manchester

 This thesis proposes a novel set of generic and compact biologically plausible VLSI (Very Large Scale Integration) neural circuits, suitable for implementing a parallel VLSI… (more)

Subjects/Keywords: VLSI; neuromorphic; neocortex; biological plausible; silicon neuron; neural network; neuron; synapse; accelerated-time neural circuit; biomimetic

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APA (6th Edition):

Wijekoon, J. (2011). Mixed Signal VLSI Circuit Implementation of the Cortical Microcircuit Models. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:129653

Chicago Manual of Style (16th Edition):

Wijekoon, Jayawan. “Mixed Signal VLSI Circuit Implementation of the Cortical Microcircuit Models.” 2011. Doctoral Dissertation, University of Manchester. Accessed September 18, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:129653.

MLA Handbook (7th Edition):

Wijekoon, Jayawan. “Mixed Signal VLSI Circuit Implementation of the Cortical Microcircuit Models.” 2011. Web. 18 Sep 2020.

Vancouver:

Wijekoon J. Mixed Signal VLSI Circuit Implementation of the Cortical Microcircuit Models. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2020 Sep 18]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:129653.

Council of Science Editors:

Wijekoon J. Mixed Signal VLSI Circuit Implementation of the Cortical Microcircuit Models. [Doctoral Dissertation]. University of Manchester; 2011. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:129653


University of Manchester

5. Wijekoon, Jayawan. Mixed signal VLSI circuit implementation of the cortical microcircuit models.

Degree: PhD, 2011, University of Manchester

 This thesis proposes a novel set of generic and compact biologically plausible VLSI (Very Large Scale Integration) neural circuits, suitable for implementing a parallel VLSI… (more)

Subjects/Keywords: 621.3; VLSI; neuromorphic; neocortex; biological plausible; silicon neuron; neural network; neuron; synapse; accelerated-time neural circuit; biomimetic

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APA (6th Edition):

Wijekoon, J. (2011). Mixed signal VLSI circuit implementation of the cortical microcircuit models. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/mixed-signal-vlsi-circuit-implementation-of-the-cortical-microcircuit-models(6deb2d34-5811-42ec-a4f1-e11cdb6816f1).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542785

Chicago Manual of Style (16th Edition):

Wijekoon, Jayawan. “Mixed signal VLSI circuit implementation of the cortical microcircuit models.” 2011. Doctoral Dissertation, University of Manchester. Accessed September 18, 2020. https://www.research.manchester.ac.uk/portal/en/theses/mixed-signal-vlsi-circuit-implementation-of-the-cortical-microcircuit-models(6deb2d34-5811-42ec-a4f1-e11cdb6816f1).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542785.

MLA Handbook (7th Edition):

Wijekoon, Jayawan. “Mixed signal VLSI circuit implementation of the cortical microcircuit models.” 2011. Web. 18 Sep 2020.

Vancouver:

Wijekoon J. Mixed signal VLSI circuit implementation of the cortical microcircuit models. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2020 Sep 18]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/mixed-signal-vlsi-circuit-implementation-of-the-cortical-microcircuit-models(6deb2d34-5811-42ec-a4f1-e11cdb6816f1).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542785.

Council of Science Editors:

Wijekoon J. Mixed signal VLSI circuit implementation of the cortical microcircuit models. [Doctoral Dissertation]. University of Manchester; 2011. Available from: https://www.research.manchester.ac.uk/portal/en/theses/mixed-signal-vlsi-circuit-implementation-of-the-cortical-microcircuit-models(6deb2d34-5811-42ec-a4f1-e11cdb6816f1).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542785


Western Kentucky University

6. Lama, Audrey. Interactive Wireless Sensor for Remote Trace Detection and Recognition of Hazardous Gases.

Degree: MS, Department of Physics and Astronomy, 2013, Western Kentucky University

  The interactive wireless sensor detects many hazardous gases such as Hexane, Propane, Carbon monoxide and Hydrogen. These gases are highly toxic and used in… (more)

Subjects/Keywords: gas sensors; hazardous gases; electronic sensor; neural network; chemiresistors; Biological and Chemical Physics; Materials Chemistry; Physics

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APA (6th Edition):

Lama, A. (2013). Interactive Wireless Sensor for Remote Trace Detection and Recognition of Hazardous Gases. (Masters Thesis). Western Kentucky University. Retrieved from https://digitalcommons.wku.edu/theses/1308

Chicago Manual of Style (16th Edition):

Lama, Audrey. “Interactive Wireless Sensor for Remote Trace Detection and Recognition of Hazardous Gases.” 2013. Masters Thesis, Western Kentucky University. Accessed September 18, 2020. https://digitalcommons.wku.edu/theses/1308.

MLA Handbook (7th Edition):

Lama, Audrey. “Interactive Wireless Sensor for Remote Trace Detection and Recognition of Hazardous Gases.” 2013. Web. 18 Sep 2020.

Vancouver:

Lama A. Interactive Wireless Sensor for Remote Trace Detection and Recognition of Hazardous Gases. [Internet] [Masters thesis]. Western Kentucky University; 2013. [cited 2020 Sep 18]. Available from: https://digitalcommons.wku.edu/theses/1308.

Council of Science Editors:

Lama A. Interactive Wireless Sensor for Remote Trace Detection and Recognition of Hazardous Gases. [Masters Thesis]. Western Kentucky University; 2013. Available from: https://digitalcommons.wku.edu/theses/1308

7. Zhou, Chaochao. Multi-Objective Design Optimization of a Mobile-Bearing Total Disc Arthroplasty Considering Spinal Kinematics, Facet Joint Loads, and Metal-on-Polyethylene Contact Mechanics.

Degree: Mechanical Engineering, 2018, Binghamton University

  Total disc arthroplasty (TDA) is a motion-preserving surgical technique used to treat spinal disorders, when more conservative medical therapies fail. Unfortunately, a high incidence… (more)

Subjects/Keywords: Biological sciences; Applied sciences; Artificial neural network; Finite element analysis; Lumbar spine; Multi-objective optimization; Total disc arthroplasty

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APA (6th Edition):

Zhou, C. (2018). Multi-Objective Design Optimization of a Mobile-Bearing Total Disc Arthroplasty Considering Spinal Kinematics, Facet Joint Loads, and Metal-on-Polyethylene Contact Mechanics. (Thesis). Binghamton University. Retrieved from https://orb.binghamton.edu/dissertation_and_theses/99

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):

Zhou, Chaochao. “Multi-Objective Design Optimization of a Mobile-Bearing Total Disc Arthroplasty Considering Spinal Kinematics, Facet Joint Loads, and Metal-on-Polyethylene Contact Mechanics.” 2018. Thesis, Binghamton University. Accessed September 18, 2020. https://orb.binghamton.edu/dissertation_and_theses/99.

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

MLA Handbook (7th Edition):

Zhou, Chaochao. “Multi-Objective Design Optimization of a Mobile-Bearing Total Disc Arthroplasty Considering Spinal Kinematics, Facet Joint Loads, and Metal-on-Polyethylene Contact Mechanics.” 2018. Web. 18 Sep 2020.

Vancouver:

Zhou C. Multi-Objective Design Optimization of a Mobile-Bearing Total Disc Arthroplasty Considering Spinal Kinematics, Facet Joint Loads, and Metal-on-Polyethylene Contact Mechanics. [Internet] [Thesis]. Binghamton University; 2018. [cited 2020 Sep 18]. Available from: https://orb.binghamton.edu/dissertation_and_theses/99.

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

Council of Science Editors:

Zhou C. Multi-Objective Design Optimization of a Mobile-Bearing Total Disc Arthroplasty Considering Spinal Kinematics, Facet Joint Loads, and Metal-on-Polyethylene Contact Mechanics. [Thesis]. Binghamton University; 2018. Available from: https://orb.binghamton.edu/dissertation_and_theses/99

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


Univerzitet u Beogradu

8. Adamović, Vladimir M. 1969-. Predviđanje indikatora za upravljanje čvrstim otpadom na nacionalnom nivou primenom veštačkih neuronskih mreža.

Degree: Tehnološko-metalurški fakultet, 2018, Univerzitet u Beogradu

Tehničko‐tehnološke nauke - Inženjerstvo zaštite životne sredine / Technical‐technological science - Environmental Engineering

Problem upravljanja otpadom postoji od nastanka najranijih ljudskih naseobina, ali je posebno… (more)

Subjects/Keywords: nonlinear modelling; hazardous waste; chemical waste; healthcare and biological (medical) waste; waste‐to‐energy; structural break; general regression neural network

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APA (6th Edition):

Adamović, V. M. 1. (2018). Predviđanje indikatora za upravljanje čvrstim otpadom na nacionalnom nivou primenom veštačkih neuronskih mreža. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:18666/bdef:Content/get

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):

Adamović, Vladimir M 1969-. “Predviđanje indikatora za upravljanje čvrstim otpadom na nacionalnom nivou primenom veštačkih neuronskih mreža.” 2018. Thesis, Univerzitet u Beogradu. Accessed September 18, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:18666/bdef:Content/get.

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

MLA Handbook (7th Edition):

Adamović, Vladimir M 1969-. “Predviđanje indikatora za upravljanje čvrstim otpadom na nacionalnom nivou primenom veštačkih neuronskih mreža.” 2018. Web. 18 Sep 2020.

Vancouver:

Adamović VM1. Predviđanje indikatora za upravljanje čvrstim otpadom na nacionalnom nivou primenom veštačkih neuronskih mreža. [Internet] [Thesis]. Univerzitet u Beogradu; 2018. [cited 2020 Sep 18]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:18666/bdef:Content/get.

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

Council of Science Editors:

Adamović VM1. Predviđanje indikatora za upravljanje čvrstim otpadom na nacionalnom nivou primenom veštačkih neuronskih mreža. [Thesis]. Univerzitet u Beogradu; 2018. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:18666/bdef:Content/get

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


Univerzitet u Beogradu

9. Šiljić Tomić, Aleksandra N., 1986-. Modelovanje kiseoničnih parametara kvaliteta površinskih voda primenom veštačkih neuronskih mreža.

Degree: Tehnološko-metalurški fakultet, 2018, Univerzitet u Beogradu

Tehničko-tehnološke nauke - Inženjerstvo zaštite životne sredine /Technical-technological sciences - Environmental engineering

Održivo korišćenje i očuvanje prirodnih resursa postalo je imperativ modernog društva. Brojni antropogeni… (more)

Subjects/Keywords: water pollution; biological oxygen demand; dissolved oxygen content; river water; Danube; artificial neural network; model optimization

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APA (6th Edition):

Šiljić Tomić, Aleksandra N., 1. (2018). Modelovanje kiseoničnih parametara kvaliteta površinskih voda primenom veštačkih neuronskih mreža. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:18856/bdef:Content/get

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):

Šiljić Tomić, Aleksandra N., 1986-. “Modelovanje kiseoničnih parametara kvaliteta površinskih voda primenom veštačkih neuronskih mreža.” 2018. Thesis, Univerzitet u Beogradu. Accessed September 18, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:18856/bdef:Content/get.

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

MLA Handbook (7th Edition):

Šiljić Tomić, Aleksandra N., 1986-. “Modelovanje kiseoničnih parametara kvaliteta površinskih voda primenom veštačkih neuronskih mreža.” 2018. Web. 18 Sep 2020.

Vancouver:

Šiljić Tomić, Aleksandra N. 1. Modelovanje kiseoničnih parametara kvaliteta površinskih voda primenom veštačkih neuronskih mreža. [Internet] [Thesis]. Univerzitet u Beogradu; 2018. [cited 2020 Sep 18]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:18856/bdef:Content/get.

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

Council of Science Editors:

Šiljić Tomić, Aleksandra N. 1. Modelovanje kiseoničnih parametara kvaliteta površinskih voda primenom veštačkih neuronskih mreža. [Thesis]. Univerzitet u Beogradu; 2018. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:18856/bdef:Content/get

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


University of Pretoria

10. Dean, Eileen J. Computer aided identification of biological specimens using self-organizing maps.

Degree: Computer Science, 2011, University of Pretoria

 For scientific or socio-economic reasons it is often necessary or desirable that biological material be identified. Given that there are an estimated 10 million living… (more)

Subjects/Keywords: Tree identification; Biological keys; Biological identification; Clustering and visualization; Ann; Artificial neural network; Ai; Artificial intelligence; Botanical identification; Acacia species; Self-organizing map; Unsupervised learning algorithm; Som; UCTD

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APA (6th Edition):

Dean, E. J. (2011). Computer aided identification of biological specimens using self-organizing maps. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/23116

Chicago Manual of Style (16th Edition):

Dean, Eileen J. “Computer aided identification of biological specimens using self-organizing maps.” 2011. Masters Thesis, University of Pretoria. Accessed September 18, 2020. http://hdl.handle.net/2263/23116.

MLA Handbook (7th Edition):

Dean, Eileen J. “Computer aided identification of biological specimens using self-organizing maps.” 2011. Web. 18 Sep 2020.

Vancouver:

Dean EJ. Computer aided identification of biological specimens using self-organizing maps. [Internet] [Masters thesis]. University of Pretoria; 2011. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/2263/23116.

Council of Science Editors:

Dean EJ. Computer aided identification of biological specimens using self-organizing maps. [Masters Thesis]. University of Pretoria; 2011. Available from: http://hdl.handle.net/2263/23116


University of Pretoria

11. [No author]. Computer aided identification of biological specimens using self-organizing maps .

Degree: 2011, University of Pretoria

 For scientific or socio-economic reasons it is often necessary or desirable that biological material be identified. Given that there are an estimated 10 million living… (more)

Subjects/Keywords: Tree identification; Biological keys; Biological identification; Clustering and visualization; Ann; Artificial neural network; Ai; Artificial intelligence; Botanical identification; Acacia species; Self-organizing map; Unsupervised learning algorithm; Som; UCTD

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APA (6th Edition):

author], [. (2011). Computer aided identification of biological specimens using self-organizing maps . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-01122011-033543/

Chicago Manual of Style (16th Edition):

author], [No. “Computer aided identification of biological specimens using self-organizing maps .” 2011. Masters Thesis, University of Pretoria. Accessed September 18, 2020. http://upetd.up.ac.za/thesis/available/etd-01122011-033543/.

MLA Handbook (7th Edition):

author], [No. “Computer aided identification of biological specimens using self-organizing maps .” 2011. Web. 18 Sep 2020.

Vancouver:

author] [. Computer aided identification of biological specimens using self-organizing maps . [Internet] [Masters thesis]. University of Pretoria; 2011. [cited 2020 Sep 18]. Available from: http://upetd.up.ac.za/thesis/available/etd-01122011-033543/.

Council of Science Editors:

author] [. Computer aided identification of biological specimens using self-organizing maps . [Masters Thesis]. University of Pretoria; 2011. Available from: http://upetd.up.ac.za/thesis/available/etd-01122011-033543/


University of Oregon

12. Dunn, Nathan A. A Novel Neural Network Analysis Method Applied to Biological Neural Networks.

Degree: 2006, University of Oregon

 This thesis makes two major contributions: it introduces a novel method for analysis of artificial neural networks and provides new models of the nematode Caenorhabditis… (more)

Subjects/Keywords: Neural networks (Computer science); Caenorhabditis elegans; Computational biology; Biological models; C. elegans; Neural network analysis; Biological modeling

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APA (6th Edition):

Dunn, N. A. (2006). A Novel Neural Network Analysis Method Applied to Biological Neural Networks. (Thesis). University of Oregon. Retrieved from http://hdl.handle.net/1794/3263

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):

Dunn, Nathan A. “A Novel Neural Network Analysis Method Applied to Biological Neural Networks.” 2006. Thesis, University of Oregon. Accessed September 18, 2020. http://hdl.handle.net/1794/3263.

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

MLA Handbook (7th Edition):

Dunn, Nathan A. “A Novel Neural Network Analysis Method Applied to Biological Neural Networks.” 2006. Web. 18 Sep 2020.

Vancouver:

Dunn NA. A Novel Neural Network Analysis Method Applied to Biological Neural Networks. [Internet] [Thesis]. University of Oregon; 2006. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1794/3263.

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

Council of Science Editors:

Dunn NA. A Novel Neural Network Analysis Method Applied to Biological Neural Networks. [Thesis]. University of Oregon; 2006. Available from: http://hdl.handle.net/1794/3263

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


University of Maine

13. Nelson, Andrew J. Investigating High Speed Localization Microscopy Through Experimental Methods, Data Processing Methods, and Applications of Localization Microscopy to Biological Questions.

Degree: PhD, Physics, 2016, University of Maine

  Fluorescence Photoactivation Localization Microscopy(FPALM) and other super resolution localization microscopy techniques can resolve structures with nanoscale resolution. Unlike techniques of electron microscopy, they are… (more)

Subjects/Keywords: Super Resolution Localization Microscopy; Neural Network; High Speed Microscopy; FPALM; Computer Vision; Artificial Intelligence and Robotics; Biological and Chemical Physics; Optics; Virology

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APA (6th Edition):

Nelson, A. J. (2016). Investigating High Speed Localization Microscopy Through Experimental Methods, Data Processing Methods, and Applications of Localization Microscopy to Biological Questions. (Doctoral Dissertation). University of Maine. Retrieved from https://digitalcommons.library.umaine.edu/etd/2530

Chicago Manual of Style (16th Edition):

Nelson, Andrew J. “Investigating High Speed Localization Microscopy Through Experimental Methods, Data Processing Methods, and Applications of Localization Microscopy to Biological Questions.” 2016. Doctoral Dissertation, University of Maine. Accessed September 18, 2020. https://digitalcommons.library.umaine.edu/etd/2530.

MLA Handbook (7th Edition):

Nelson, Andrew J. “Investigating High Speed Localization Microscopy Through Experimental Methods, Data Processing Methods, and Applications of Localization Microscopy to Biological Questions.” 2016. Web. 18 Sep 2020.

Vancouver:

Nelson AJ. Investigating High Speed Localization Microscopy Through Experimental Methods, Data Processing Methods, and Applications of Localization Microscopy to Biological Questions. [Internet] [Doctoral dissertation]. University of Maine; 2016. [cited 2020 Sep 18]. Available from: https://digitalcommons.library.umaine.edu/etd/2530.

Council of Science Editors:

Nelson AJ. Investigating High Speed Localization Microscopy Through Experimental Methods, Data Processing Methods, and Applications of Localization Microscopy to Biological Questions. [Doctoral Dissertation]. University of Maine; 2016. Available from: https://digitalcommons.library.umaine.edu/etd/2530


Swedish University of Agricultural Sciences

14. Halnes, Geir. Biological network modelling.

Degree: 2007, Swedish University of Agricultural Sciences

 This study takes a network approach to understanding complex biological systems. The overall objective is to explore how the stability and flexibility of biological networks… (more)

Subjects/Keywords: neural networks; network analysis; food chains; brain; models; network theory; system analysis; biological network; food web; neural network; neurodynamics; stability; flexibility; EEG; modified niche model; detritus; network density

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

APA (6th Edition):

Halnes, G. (2007). Biological network modelling. (Doctoral Dissertation). Swedish University of Agricultural Sciences. Retrieved from https://pub.epsilon.slu.se/1609/

Chicago Manual of Style (16th Edition):

Halnes, Geir. “Biological network modelling.” 2007. Doctoral Dissertation, Swedish University of Agricultural Sciences. Accessed September 18, 2020. https://pub.epsilon.slu.se/1609/.

MLA Handbook (7th Edition):

Halnes, Geir. “Biological network modelling.” 2007. Web. 18 Sep 2020.

Vancouver:

Halnes G. Biological network modelling. [Internet] [Doctoral dissertation]. Swedish University of Agricultural Sciences; 2007. [cited 2020 Sep 18]. Available from: https://pub.epsilon.slu.se/1609/.

Council of Science Editors:

Halnes G. Biological network modelling. [Doctoral Dissertation]. Swedish University of Agricultural Sciences; 2007. Available from: https://pub.epsilon.slu.se/1609/

15. Chen, Bi-Hsiang. Study of inactivation of microorganisms in water using ozone and chlorine on variation of AOC in advanced water treatment plant and correlations of cleaning frequency in reservoir and water tower.

Degree: PhD, Environmental Engineering, 2012, NSYSU

 In response to organic contaminations pollutating water sources of drinking water, domestic water treatment plants (WTP) were transforming from traditional chlorination disinfecton method to advanced… (more)

Subjects/Keywords: PAC; AOC; biological systems; BAC; correlation analysis; microrganisms; DBPsFP; artificial neural network method

…artificial neural network method, BAC, PAC, biological systems, DBPsFP, correlation analysis… …x28;6.03) method of the artificial neural network system; (2) vi 國立中山大學環境工程 究所… …deteriorate in the water distribution network for various reasons, primarily resulting from the… …from raw water using powdered and granular activated carbon biological systems, and the… …biological systems; (3) examining the relationship between ozone-based and chlorination… 

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

APA (6th Edition):

Chen, B. (2012). Study of inactivation of microorganisms in water using ozone and chlorine on variation of AOC in advanced water treatment plant and correlations of cleaning frequency in reservoir and water tower. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0708112-034445

Chicago Manual of Style (16th Edition):

Chen, Bi-Hsiang. “Study of inactivation of microorganisms in water using ozone and chlorine on variation of AOC in advanced water treatment plant and correlations of cleaning frequency in reservoir and water tower.” 2012. Doctoral Dissertation, NSYSU. Accessed September 18, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0708112-034445.

MLA Handbook (7th Edition):

Chen, Bi-Hsiang. “Study of inactivation of microorganisms in water using ozone and chlorine on variation of AOC in advanced water treatment plant and correlations of cleaning frequency in reservoir and water tower.” 2012. Web. 18 Sep 2020.

Vancouver:

Chen B. Study of inactivation of microorganisms in water using ozone and chlorine on variation of AOC in advanced water treatment plant and correlations of cleaning frequency in reservoir and water tower. [Internet] [Doctoral dissertation]. NSYSU; 2012. [cited 2020 Sep 18]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0708112-034445.

Council of Science Editors:

Chen B. Study of inactivation of microorganisms in water using ozone and chlorine on variation of AOC in advanced water treatment plant and correlations of cleaning frequency in reservoir and water tower. [Doctoral Dissertation]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0708112-034445


New Jersey Institute of Technology

16. Ma, Qicheng. Knowledge discovery in biological databases : a neural network approach.

Degree: PhD, Computer and Information Science, 2000, New Jersey Institute of Technology

  Knowledge discovery, in databases, also known as data mining, is aimed to find significant information from a set of data. The knowledge to be… (more)

Subjects/Keywords: data mining; neural network approach; biological databases; Computer Sciences; Databases and Information Systems; Management Information Systems

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

APA (6th Edition):

Ma, Q. (2000). Knowledge discovery in biological databases : a neural network approach. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/423

Chicago Manual of Style (16th Edition):

Ma, Qicheng. “Knowledge discovery in biological databases : a neural network approach.” 2000. Doctoral Dissertation, New Jersey Institute of Technology. Accessed September 18, 2020. https://digitalcommons.njit.edu/dissertations/423.

MLA Handbook (7th Edition):

Ma, Qicheng. “Knowledge discovery in biological databases : a neural network approach.” 2000. Web. 18 Sep 2020.

Vancouver:

Ma Q. Knowledge discovery in biological databases : a neural network approach. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2000. [cited 2020 Sep 18]. Available from: https://digitalcommons.njit.edu/dissertations/423.

Council of Science Editors:

Ma Q. Knowledge discovery in biological databases : a neural network approach. [Doctoral Dissertation]. New Jersey Institute of Technology; 2000. Available from: https://digitalcommons.njit.edu/dissertations/423


Universidad de Extremadura

17. Peguero Chamizo, Juan Carlos. Control de una planta de tratamiento de aguas residuales mediante redes neuronales .

Degree: 2004, Universidad de Extremadura

 En esta Tesis se ha simulado el reactor biológico de una estación depuradora de aguas residuales (EDAR). Su dinámica ha sido controlada mediante una red… (more)

Subjects/Keywords: Depuración de agua; Aguas residuales; Red neuronal; Inteligencia artificial; Biolodo; Reactor biológico aerobio; Water purification; Sewage; Neural network; Artifical inteligence; Biosludge; Aerobic biological reactor

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

APA (6th Edition):

Peguero Chamizo, J. C. (2004). Control de una planta de tratamiento de aguas residuales mediante redes neuronales . (Thesis). Universidad de Extremadura. Retrieved from http://hdl.handle.net/10662/453

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):

Peguero Chamizo, Juan Carlos. “Control de una planta de tratamiento de aguas residuales mediante redes neuronales .” 2004. Thesis, Universidad de Extremadura. Accessed September 18, 2020. http://hdl.handle.net/10662/453.

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

MLA Handbook (7th Edition):

Peguero Chamizo, Juan Carlos. “Control de una planta de tratamiento de aguas residuales mediante redes neuronales .” 2004. Web. 18 Sep 2020.

Vancouver:

Peguero Chamizo JC. Control de una planta de tratamiento de aguas residuales mediante redes neuronales . [Internet] [Thesis]. Universidad de Extremadura; 2004. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/10662/453.

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

Council of Science Editors:

Peguero Chamizo JC. Control de una planta de tratamiento de aguas residuales mediante redes neuronales . [Thesis]. Universidad de Extremadura; 2004. Available from: http://hdl.handle.net/10662/453

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

18. Singh, Vidya Bhushan. User Modeling and Optimization for Environmental Planning System Design.

Degree: 2014, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Environmental planning is very cumbersome work for environmentalists, government agencies like USDA and NRCS, and farmers. There are a number… (more)

Subjects/Keywords: User Modeling; Environmental Planning; Genetic Algorithm; Neural Network; Watershed; Interactive Optimization; Environmental protection  – Planning  – Research  – Methodology  – Evaluation; Neural networks (Computer science)  – Scientific applications; Genetic algorithms  – Research  – Methodology; Watershed restoration  – Research; Artificial intelligence  – Biological applications; Mathematical optimization  – Research; High performance computing  – Research; Information modeling; Water resources development  – Environmental aspects; User interfaces (Computer systems); Watershed hydrology  – Indiana  – Eagle Creek Watershed (Boone County-Marion County); Land use  – Indiana  – Eagle Creek Watershed (Boone County-Marion County); Spatial analysis (Statistics); Environmental engineering  – Mathematical models; Sustainable development; Machine learning  – Research; System analysis

…A Feed Forward Artificial Neural Network . . . . . . . . . . . . . . . . 72 6.2 Deep… …Inference System ANN Artificial Neural Network AS Automated Search BMP Best Management… …preferences and search criteria using an ANN (Artificial Neural Network). Training an ANN… …Artificial Neural Network (ANN), was done by [26] where news were shown to the… …Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 7.1 Simple Rating… 

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

APA (6th Edition):

Singh, V. B. (2014). User Modeling and Optimization for Environmental Planning System Design. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/6114

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):

Singh, Vidya Bhushan. “User Modeling and Optimization for Environmental Planning System Design.” 2014. Thesis, IUPUI. Accessed September 18, 2020. http://hdl.handle.net/1805/6114.

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

MLA Handbook (7th Edition):

Singh, Vidya Bhushan. “User Modeling and Optimization for Environmental Planning System Design.” 2014. Web. 18 Sep 2020.

Vancouver:

Singh VB. User Modeling and Optimization for Environmental Planning System Design. [Internet] [Thesis]. IUPUI; 2014. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1805/6114.

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

Council of Science Editors:

Singh VB. User Modeling and Optimization for Environmental Planning System Design. [Thesis]. IUPUI; 2014. Available from: http://hdl.handle.net/1805/6114

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

.