Author: James A. Freeman
Edition: 1st
Publisher: Addison-Wesley Professional
Binding: Paperback
ISBN: 020156629X
Category: Programming
List Price: $ 49.99
Price: $ 33.14
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Simulating Neural Networks with Mathematica
This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Programming books Simulating Neural Networks with Mathematica pdf. 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. Download books Simulating Neural Networks With Mathematica pdf via mediafire, 4shared, rapidshare.
Price comparison for Simulating Neural Networks With Mathematica By James A. Freeman Paperback Bo
Price: $62.75
Store Search search Title, ISBN and Author Simulating Neural Networks with Mathematica by James A. Freeman Estimated delivery 3-12 business days Format Paperback Condition Brand New Features: Addresses a major neural network topic or a specific network architecture in each chapter includes an introduction to genetic a/gorithms Vlncludes Mathematica listings in an appendix. Publisher Description This book introduces neural networks, their operation and their application, in the context of Mathem
Store Search search Title, ISBN and Author Simulating Neural Networks with Mathematica by James A. Freeman Estimated delivery 3-12 business days Format Paperback Condition Brand New Features: Addresses a major neural network topic or a specific network architecture in each chapter includes an introduction to genetic a/gorithms Vlncludes Mathematica listings in an appendix. Publisher Description This book introduces neural networks, their operation and their application, in the context of Mathem
Price: $62.39
Format Paperback Condition Brand New This book introduces neural networks, their operation and their application, in the context of Mathematica, a mathematical programming language. Readers will learn how to simulate neural network operations using Mathem
Format Paperback Condition Brand New This book introduces neural networks, their operation and their application, in the context of Mathematica, a mathematical programming language. Readers will learn how to simulate neural network operations using Mathem
Price: $32
Introduces neural networks their operation and their application in the context of Mathematica a mathematical programming language DLC Neural networks Computer science
Introduces neural networks their operation and their application in the context of Mathematica a mathematical programming language DLC Neural networks Computer science
Price: $41.72
Addison-Wesley Professional. PAPERBACK. 020156629X Brand New Item! US Edition! Perfect Condition! Ships from US!! Tracking # available! We accept PO Box/ APO/FPO/ PUERTO RICO address! . Very Good.
Addison-Wesley Professional. PAPERBACK. 020156629X Brand New Item! US Edition! Perfect Condition! Ships from US!! Tracking # available! We accept PO Box/ APO/FPO/ PUERTO RICO address! . Very Good.
Price: $15.6
Download Simulating Neural Networks with Mathematica
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 Download free Simulating Neural Networks with Mathematica pdf
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