Isbn: 9780201566291 - simulating neural networks with mathematica (10 Ergebnisse)

Paperback. Zustand: Very Good. This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Readers will learn how to simulate neural network operations using Mathematica, and will learn techniques for employing Mathematica to assess neural network behavior and performance. For students of neural networks in upper-level undergraduate or beginning graduate courses in computer science, engineering, and related areas. Also for researchers and practitioners interested in using Mathematica as a research tool. Features *Teaches the reader about what neural networks are, and how to manipulate them within the Mathematica environment. *Shows how Mathematica can be used to implement and experiment with neural network architectures. *Addresses a major topic related to neural networks in each chapter, or a specific type of neural network architecture. *Contains exercises, suggested projects, and supplementary reading lists with each chapter. *Includes Mathematica application programs ("packages") in Appendix. (Also available electronically from MathSource.) Table of ContentsIntroduction to Neural Networks and Mathematica Training by Error Minimization Backpropagation and Its Variants Probability and Neural Networks Optimization and Constraint Satisfaction with Neural Networks Feedback and Recurrent Networks Adaptive Resonance Theory Genetic Algorithms 020156629XB04062001.…

Paperback. Zustand: Very Good. This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Readers will learn how to simulate neural network operations using Mathematica, and will learn techniques for employing Mathematica to assess neural network behavior and performance. For students of neural networks in upper-level undergraduate or beginning graduate courses in computer science, engineering, and related areas. Also for researchers and practitioners interested in using Mathematica as a research tool. Features *Teaches the reader about what neural networks are, and how to manipulate them within the Mathematica environment. *Shows how Mathematica can be used to implement and experiment with neural network architectures. *Addresses a major topic related to neural networks in each chapter, or a specific type of neural network architecture. *Contains exercises, suggested projects, and supplementary reading lists with each chapter. *Includes Mathematica application programs ("packages") in Appendix. (Also available electronically from MathSource.) Table of ContentsIntroduction to Neural Networks and Mathematica Training by Error Minimization Backpropagation and Its Variants Probability and Neural Networks Optimization and Constraint Satisfaction with Neural Networks Feedback and Recurrent Networks Adaptive Resonance Theory Genetic Algorithms 020156629XB04062001.…

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: very_good.

Zustand: Good. 7Rev Ed. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Good. 7Rev Ed. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Book contains pen & pencil markings. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780201566291.…

Hardbound, 8vo 341 pp., figs and program listings genetic algorithms; adaptive resonance theory; feedback and recurrent networks; LIKE NEW condition.

Zustand: Gut. Zustand: Gut | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.