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You searched for subject:(Neural Structure Optimization). Showing records 1 – 8 of 8 total matches.

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Université de Montréal

1. Pahuja, Vardaan. Visual question answering with modules and language modeling.

Degree: 2019, Université de Montréal

Subjects/Keywords: Réponse visuelle à une question; Visual Question Answering; Visual Reasoning; Modular Networks; Neural Structure Optimization; Language Modeling; Raisonnement Visuel; Réseaux Modulaires; Modélisation du Langage; Optimisation de la structure neuronale; Applied Sciences - Artificial Intelligence / Sciences appliqués et technologie - Intelligence artificielle (UMI : 0800)

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

APA (6th Edition):

Pahuja, V. (2019). Visual question answering with modules and language modeling. (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/22534

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):

Pahuja, Vardaan. “Visual question answering with modules and language modeling.” 2019. Thesis, Université de Montréal. Accessed December 05, 2020. http://hdl.handle.net/1866/22534.

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

MLA Handbook (7th Edition):

Pahuja, Vardaan. “Visual question answering with modules and language modeling.” 2019. Web. 05 Dec 2020.

Vancouver:

Pahuja V. Visual question answering with modules and language modeling. [Internet] [Thesis]. Université de Montréal; 2019. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/1866/22534.

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

Council of Science Editors:

Pahuja V. Visual question answering with modules and language modeling. [Thesis]. Université de Montréal; 2019. Available from: http://hdl.handle.net/1866/22534

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


Univerzitet u Beogradu

2. Svorcan, Jelena, 1987-. Методологија интегралне анализе и оптимизације аеродинамичких површина ваздухопловних конструкција.

Degree: Mašinski fakultet, 2017, Univerzitet u Beogradu

Машинство - Ваздухопловство / Mechanical engineering - Aerospace engineering

Представљени су интегрални процеси пројектовања, нумеричког прорачуна и оптимизације три различите геометрије. Изведене су раванске анализе… (more)

Subjects/Keywords: Computational fluid dynamics; optimization; vertical axis wind turbine; time varying working conditions; boundary layer control; artificial neural networks; deformable boundaries; fluid-structure interaction

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APA (6th Edition):

Svorcan, Jelena, 1. (2017). Методологија интегралне анализе и оптимизације аеродинамичких површина ваздухопловних конструкција. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:15089/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):

Svorcan, Jelena, 1987-. “Методологија интегралне анализе и оптимизације аеродинамичких површина ваздухопловних конструкција.” 2017. Thesis, Univerzitet u Beogradu. Accessed December 05, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:15089/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):

Svorcan, Jelena, 1987-. “Методологија интегралне анализе и оптимизације аеродинамичких површина ваздухопловних конструкција.” 2017. Web. 05 Dec 2020.

Vancouver:

Svorcan, Jelena 1. Методологија интегралне анализе и оптимизације аеродинамичких површина ваздухопловних конструкција. [Internet] [Thesis]. Univerzitet u Beogradu; 2017. [cited 2020 Dec 05]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:15089/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:

Svorcan, Jelena 1. Методологија интегралне анализе и оптимизације аеродинамичких површина ваздухопловних конструкција. [Thesis]. Univerzitet u Beogradu; 2017. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:15089/bdef:Content/get

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

3. Gomez-Cardenas, Carolina. Outils d'aide à l'optimisation des campagnes d'essais non destructifs sur ouvrages en béton armé : Development of new tools for optimizing non-destructive inspection campaigns on reinforced concrete structures.

Degree: Docteur es, Génie civil, 2015, Université Toulouse III – Paul Sabatier

 Les méthodes de contrôle non destructif (CND) sont essentielles pour estimer les propriétés du béton (mécaniques ou physiques) et leur variabilité spatiale. Elles constituent également… (more)

Subjects/Keywords: CND; Surveillance; Structure en béton; Optimisation; Variabilité spatiale; Incertitudes; Fusion des données; Réseau de neurones; NDT; Inspection; Concrete structure; Optimization; Spatial variability; Uncertainties; Data fusion; Artificial neural networks

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APA (6th Edition):

Gomez-Cardenas, C. (2015). Outils d'aide à l'optimisation des campagnes d'essais non destructifs sur ouvrages en béton armé : Development of new tools for optimizing non-destructive inspection campaigns on reinforced concrete structures. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2015TOU30177

Chicago Manual of Style (16th Edition):

Gomez-Cardenas, Carolina. “Outils d'aide à l'optimisation des campagnes d'essais non destructifs sur ouvrages en béton armé : Development of new tools for optimizing non-destructive inspection campaigns on reinforced concrete structures.” 2015. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed December 05, 2020. http://www.theses.fr/2015TOU30177.

MLA Handbook (7th Edition):

Gomez-Cardenas, Carolina. “Outils d'aide à l'optimisation des campagnes d'essais non destructifs sur ouvrages en béton armé : Development of new tools for optimizing non-destructive inspection campaigns on reinforced concrete structures.” 2015. Web. 05 Dec 2020.

Vancouver:

Gomez-Cardenas C. Outils d'aide à l'optimisation des campagnes d'essais non destructifs sur ouvrages en béton armé : Development of new tools for optimizing non-destructive inspection campaigns on reinforced concrete structures. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2015. [cited 2020 Dec 05]. Available from: http://www.theses.fr/2015TOU30177.

Council of Science Editors:

Gomez-Cardenas C. Outils d'aide à l'optimisation des campagnes d'essais non destructifs sur ouvrages en béton armé : Development of new tools for optimizing non-destructive inspection campaigns on reinforced concrete structures. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2015. Available from: http://www.theses.fr/2015TOU30177


Iowa State University

4. Sundararajan, Saraswathi. Fast learning optimized prediction methodology for protein secondary structure prediction, relative solvent accessibility prediction and phosphorylation prediction.

Degree: 2011, Iowa State University

 Computational methods are rapidly gaining importance in the field of structural biology, mostly due to the explosive progress in genome sequencing projects and the large… (more)

Subjects/Keywords: Machine Learning; Neural Network; Particle Swarm Optimization; Phosphrylation; Protein; Secondary Structure Prediction; Biochemistry, Biophysics, and Structural Biology

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

APA (6th Edition):

Sundararajan, S. (2011). Fast learning optimized prediction methodology for protein secondary structure prediction, relative solvent accessibility prediction and phosphorylation prediction. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/11986

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):

Sundararajan, Saraswathi. “Fast learning optimized prediction methodology for protein secondary structure prediction, relative solvent accessibility prediction and phosphorylation prediction.” 2011. Thesis, Iowa State University. Accessed December 05, 2020. https://lib.dr.iastate.edu/etd/11986.

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

MLA Handbook (7th Edition):

Sundararajan, Saraswathi. “Fast learning optimized prediction methodology for protein secondary structure prediction, relative solvent accessibility prediction and phosphorylation prediction.” 2011. Web. 05 Dec 2020.

Vancouver:

Sundararajan S. Fast learning optimized prediction methodology for protein secondary structure prediction, relative solvent accessibility prediction and phosphorylation prediction. [Internet] [Thesis]. Iowa State University; 2011. [cited 2020 Dec 05]. Available from: https://lib.dr.iastate.edu/etd/11986.

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

Council of Science Editors:

Sundararajan S. Fast learning optimized prediction methodology for protein secondary structure prediction, relative solvent accessibility prediction and phosphorylation prediction. [Thesis]. Iowa State University; 2011. Available from: https://lib.dr.iastate.edu/etd/11986

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

5. Σαριδάκης, Κωνσταντίνος. Μεθοδολογίες σχεδιασμού βασιζόμενες σε τεχνικές υπολογιστικής νοημοσύνης και σε προηγούμενη σχεδιαστική γνώση.

Degree: 2008, University of Patras

 Στην παρούσα διατριβή γίνεται μία μεθοδολογική συστηματική προσέγγιση του σχεδιασμού που βασίζεται στη χρήση τεχνικών της υπολογιστικής νοημοσύνης και στην εκμετάλλευση της προϋπάρχουσας διαθέσιμης σχεδιαστικής… (more)

Subjects/Keywords: Σχεδιασμός; Τεχνητή νοημοσύνη; Ασαφής λογική; Νευρωνικά δίκτυα; Γενετικοί αλγόριθμοι; Ανάκτηση σχεδιαστικής λύσης; Βελτιστοποίηση; Πίνακες δομής; Design; Artificial intelligence; Fuzzy logic; Neural networks; Genetic algorithms; Design solution retrieval; Optimization; Design structure matrix

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

APA (6th Edition):

Σαριδάκης, . (2008). Μεθοδολογίες σχεδιασμού βασιζόμενες σε τεχνικές υπολογιστικής νοημοσύνης και σε προηγούμενη σχεδιαστική γνώση. (Doctoral Dissertation). University of Patras. Retrieved from http://nemertes.lis.upatras.gr/jspui/handle/10889/1541

Chicago Manual of Style (16th Edition):

Σαριδάκης, Κωνσταντίνος. “Μεθοδολογίες σχεδιασμού βασιζόμενες σε τεχνικές υπολογιστικής νοημοσύνης και σε προηγούμενη σχεδιαστική γνώση.” 2008. Doctoral Dissertation, University of Patras. Accessed December 05, 2020. http://nemertes.lis.upatras.gr/jspui/handle/10889/1541.

MLA Handbook (7th Edition):

Σαριδάκης, Κωνσταντίνος. “Μεθοδολογίες σχεδιασμού βασιζόμενες σε τεχνικές υπολογιστικής νοημοσύνης και σε προηγούμενη σχεδιαστική γνώση.” 2008. Web. 05 Dec 2020.

Vancouver:

Σαριδάκης . Μεθοδολογίες σχεδιασμού βασιζόμενες σε τεχνικές υπολογιστικής νοημοσύνης και σε προηγούμενη σχεδιαστική γνώση. [Internet] [Doctoral dissertation]. University of Patras; 2008. [cited 2020 Dec 05]. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/1541.

Council of Science Editors:

Σαριδάκης . Μεθοδολογίες σχεδιασμού βασιζόμενες σε τεχνικές υπολογιστικής νοημοσύνης και σε προηγούμενη σχεδιαστική γνώση. [Doctoral Dissertation]. University of Patras; 2008. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/1541

6. Σαριδάκης, Κωνσταντίνος. Μεθοδολογίες σχεδιασμού βασιζόμενες σε τεχνικές υπολογιστικής νοημοσύνης και σε προηγούμενη σχεδιαστική γνώση.

Degree: 2008, University of Patras; Πανεπιστήμιο Πατρών

 The current Ph.D. thesis introduces a methodogical and systematic approach in order to perform engineering design by utilizing methods and techniques of computational intelligence as… (more)

Subjects/Keywords: Σχεδιασμός; Τεχνητή νοημοσύνη; Ασαφής λογική; Δίκτυα, Νευρωνικά; Γενετικοί αλγόριθμοι; Ανάκτηση σχεδιαστικής λύσης; Βελτιστοποίηση; Πίνακες δομής σχεδιασμού; Design; Artificial intelligence; Fuzzy logic; Networks, Neural; Genetic algorithms; Design solution retrieval; Optimization; Design structure matrix

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Σαριδάκης, . . (2008). Μεθοδολογίες σχεδιασμού βασιζόμενες σε τεχνικές υπολογιστικής νοημοσύνης και σε προηγούμενη σχεδιαστική γνώση. (Thesis). University of Patras; Πανεπιστήμιο Πατρών. Retrieved from http://hdl.handle.net/10442/hedi/17868

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):

Σαριδάκης, Κωνσταντίνος. “Μεθοδολογίες σχεδιασμού βασιζόμενες σε τεχνικές υπολογιστικής νοημοσύνης και σε προηγούμενη σχεδιαστική γνώση.” 2008. Thesis, University of Patras; Πανεπιστήμιο Πατρών. Accessed December 05, 2020. http://hdl.handle.net/10442/hedi/17868.

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

MLA Handbook (7th Edition):

Σαριδάκης, Κωνσταντίνος. “Μεθοδολογίες σχεδιασμού βασιζόμενες σε τεχνικές υπολογιστικής νοημοσύνης και σε προηγούμενη σχεδιαστική γνώση.” 2008. Web. 05 Dec 2020.

Vancouver:

Σαριδάκης . Μεθοδολογίες σχεδιασμού βασιζόμενες σε τεχνικές υπολογιστικής νοημοσύνης και σε προηγούμενη σχεδιαστική γνώση. [Internet] [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2008. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/10442/hedi/17868.

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

Council of Science Editors:

Σαριδάκης . Μεθοδολογίες σχεδιασμού βασιζόμενες σε τεχνικές υπολογιστικής νοημοσύνης και σε προηγούμενη σχεδιαστική γνώση. [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2008. Available from: http://hdl.handle.net/10442/hedi/17868

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

7. ZHANG YAN. NEURAL NETWORK BASED PARALLEL ALGORITHMS FOR SOLVING OPTIMIZATION PROBLEMS.

Degree: 2000, National University of Singapore

Subjects/Keywords: Combinatorial optimization; artificial neural network; Hopfield network; coloring of graph; iso-structure of graph; maximum independent set; maximum clique; travelling salesman

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

APA (6th Edition):

YAN, Z. (2000). NEURAL NETWORK BASED PARALLEL ALGORITHMS FOR SOLVING OPTIMIZATION PROBLEMS. (Thesis). National University of Singapore. Retrieved from https://scholarbank.nus.edu.sg/handle/10635/159042

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):

YAN, ZHANG. “NEURAL NETWORK BASED PARALLEL ALGORITHMS FOR SOLVING OPTIMIZATION PROBLEMS.” 2000. Thesis, National University of Singapore. Accessed December 05, 2020. https://scholarbank.nus.edu.sg/handle/10635/159042.

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

MLA Handbook (7th Edition):

YAN, ZHANG. “NEURAL NETWORK BASED PARALLEL ALGORITHMS FOR SOLVING OPTIMIZATION PROBLEMS.” 2000. Web. 05 Dec 2020.

Vancouver:

YAN Z. NEURAL NETWORK BASED PARALLEL ALGORITHMS FOR SOLVING OPTIMIZATION PROBLEMS. [Internet] [Thesis]. National University of Singapore; 2000. [cited 2020 Dec 05]. Available from: https://scholarbank.nus.edu.sg/handle/10635/159042.

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

Council of Science Editors:

YAN Z. NEURAL NETWORK BASED PARALLEL ALGORITHMS FOR SOLVING OPTIMIZATION PROBLEMS. [Thesis]. National University of Singapore; 2000. Available from: https://scholarbank.nus.edu.sg/handle/10635/159042

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

8. ZHANG YAN. NEURAL NETWORK BASED PARALLEL ALGORITHMS FOR SOLVING OPTIMIZATION PROBLEMS.

Degree: 2000, National University of Singapore

Subjects/Keywords: Combinatorial optimization; artificial neural network; Hopfield network; coloring of graph; iso-structure of graph; maximum independent set; maximum clique; travelling salesman

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

YAN, Z. (2000). NEURAL NETWORK BASED PARALLEL ALGORITHMS FOR SOLVING OPTIMIZATION PROBLEMS. (Thesis). National University of Singapore. Retrieved from https://scholarbank.nus.edu.sg/handle/10635/160356

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):

YAN, ZHANG. “NEURAL NETWORK BASED PARALLEL ALGORITHMS FOR SOLVING OPTIMIZATION PROBLEMS.” 2000. Thesis, National University of Singapore. Accessed December 05, 2020. https://scholarbank.nus.edu.sg/handle/10635/160356.

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

MLA Handbook (7th Edition):

YAN, ZHANG. “NEURAL NETWORK BASED PARALLEL ALGORITHMS FOR SOLVING OPTIMIZATION PROBLEMS.” 2000. Web. 05 Dec 2020.

Vancouver:

YAN Z. NEURAL NETWORK BASED PARALLEL ALGORITHMS FOR SOLVING OPTIMIZATION PROBLEMS. [Internet] [Thesis]. National University of Singapore; 2000. [cited 2020 Dec 05]. Available from: https://scholarbank.nus.edu.sg/handle/10635/160356.

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

Council of Science Editors:

YAN Z. NEURAL NETWORK BASED PARALLEL ALGORITHMS FOR SOLVING OPTIMIZATION PROBLEMS. [Thesis]. National University of Singapore; 2000. Available from: https://scholarbank.nus.edu.sg/handle/10635/160356

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

.