Neural Network Learning and Expert Systems (Bradford Books) [Hardcover]

Stephen I. Gallant (Author)

Book Description

Series: Bradford Books | Publication Date: March 2, 1993

Most neural network programs for personal computers simply control a set of fixed, canned network-layer algorithms with pulldown menus. This new tutorial offers hands-on neural network experiments with a different approach. A simple matrix language lets users create their own neural networks and combine networks, and this is the only currently available software permitting combined simulation of neural networks together with other dynamic systems such as robots or physiological models. The enclosed student version of DESIRE/NEUNET differs from the full system only in the size of its data area and includes a screen editor, compiler, color graphics, help screens, and ready-to-run examples. Users can also add their own help screens and interactive menus.The book provides an introduction to neural networks and simulation, a tutorial on the software, and many complete programs including several backpropagation schemes, creeping random search, competitive learning with and without adaptive-resonance function and "conscience," counterpropagation, nonlinear Grossberg-type neurons, Hopfield-type and bidirectional associative memories, predictors, function learning, biological clocks, system identification, and more.In addition, the book introduces a simple, integrated environment for programming, displays, and report preparation. Even differential equations are entered in ordinary mathematical notation. Users need not learn C or LISP to program nonlinear neuron models. To permit truly interactive experiments, the extra-fast compilation is unnoticeable, and simulations execute faster than PC FORTRAN.The nearly 90 illustrations include block diagrams, computer programs, and simulation-output graphs.Granino A. Kom has been a Professor of Electrical Engineering at the University of Arizona and has worked in the aerospace industry for a decade. He is the author of ten other engineering texts and handbooks.

Editorial Reviews

Review

"A gold mine for researchers working on learning algorithms and computer professionals who want to use them." Mario Marchand, Physics Department, University of Ottawa

About the Author

Steve Gallant is a Principal at Belmont Research, Inc.

Product Details

• Hardcover: 364 pages
• Publisher: A Bradford Book (March 2, 1993)
• Language: English
• ISBN-10: 0262071452
• ISBN-13: 978-0262071451
• Product Dimensions: 9.3 x 6.2 x 1 inches
• Shipping Weight: 1.6 pounds (View shipping rates and policies)
• Average Customer Review: 3.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #1,675,506 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

3.0 out of 5 stars Hybrid neural networks, fuzzy, logic, expert system information, March 17, 2010

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This review is from: Neural Network Learning and Expert Systems (Bradford Books) (Hardcover)

Was referenced by another book for more details that is why I purchased it, it does have interesting information hybrid systems