Simulating Neural Networks with Mathematica
This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Get and download textbook Simulating Neural Networks with Mathematica for free
Author: Freeman, James A. ISBN-10: 020156629X
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 Simulating Neural Networks with Mathematica new edition
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payment | shipping rates | returns Simulating Neural Networks with Mathematica Product Category :Books UPC :785342566291 ISBN :020156629X Title :Simulating Neural Networks with Mathematica EAN :9780201566291 Authors :James A. Freeman Binding :Paperback Publisher :Addison-Wesley Professional Publication Date :1993-04-10 Pages :352 Signed :False First Edition :False Dust Jacket :False List Price (MSRP) :49.99 Height :0.9000 inches Width :6.3000 inches Length :9.0000 inches Weight :1.0500 pounds K
Introduces neural networks their operation and their application in the context of Mathematica a mathematical programming language DLC Neural networks Computer science
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.
Simulating Neural Networks with Mathematica Textbook
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
eaders 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
