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Neural Networks for Optimization and Signal Processing [Hardcover] Cichocki,

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Brand
Wiley
Style
ABIS_BOOK
ISBN
9780471930105
Publication Year
1993
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Neural Networks for Optimization and Signal Processing
Item Height
1.5in
Author
Andrzej Cichocki, R. Unbehauen
Item Length
9.2in
Publisher
Wiley & Sons, Incorporated, John
Item Width
6.2in
Item Weight
33.1 Oz
Number of Pages
544 Pages

About this product

Product Information

Neural Networks for Optimization and Signal Processing A. Cichocki Warsaw University of Technology Poland R. Unbehauen Universität Erlangen-Nürnberg Germany Artificial neural networks can be employed to solve a wide spectrum of problems in optimization, parallel computing, matrix algebra and signal processing. Taking a computational approach, this book explains how ANNs provide solutions in real time, and allow the visualization and development of new techniques and architectures. Features include: A guide to the fundamental mathematics of neurocomputing. A review of neural network models and an analysis of their associated algorithms. State-of-the-art procedures to solve optimization problems. Computer simulation programs MATLAB, TUTSIM and SPICE illustrate the validity and performance of the algorithms and architectures described. The authors encourage the reader to be creative in visualizing new approaches and detail how other specialized computer programs can evaluate performance. Each chapter concludes with a short bibliography. Illustrative worked examples, questions and problems assist self study. The authors self-contained approach will appeal to a wide range of readers, including professional engineers working in computing, optimization, operational research, systems identification and control theory. Undergraduate and postgraduate students in computer science, electrical and electronic engineering will also find this text invaluable. In particular, the text will be ideal to supplement courses in circuit analysis and design, adaptive systems, control systems, signal processing and parallel computing. B.G. Teubner Stuttgart

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471930105
ISBN-13
9780471930105
eBay Product ID (ePID)
1037025

Product Key Features

Author
Andrzej Cichocki, R. Unbehauen
Publication Name
Neural Networks for Optimization and Signal Processing
Format
Hardcover
Language
English
Publication Year
1993
Type
Textbook
Number of Pages
544 Pages

Dimensions

Item Length
9.2in
Item Height
1.5in
Item Width
6.2in
Item Weight
33.1 Oz

Additional Product Features

Lc Classification Number
Qa76.87.C52 1993
Table of Content
Mathematical Preliminaries of Neurocomputing. Architectures and Electronic Implementation of Neural Network Models. Unconstrained Optimization and Learning Algorithms. Neural Networks for Linear, Quadratic Programming and Linear Complementarity Problems. A Neural Network Approach to the On-Line Solution of a System of Linear Algebraic Equations and Related Problems. Neural Networks for Matrix Algebra Problems. Neural Networks for Continuous, Nonlinear, Constrained Optimization Problems. Neural Networks for Estimation, Identification and Prediction. Neural Networks for Discrete and Combinatorial Optimization Problems. Appendices. Subject Index.
Copyright Date
1993
Topic
Game Theory, Neural Networks
Lccn
92-046543
Intended Audience
Scholarly & Professional
Illustrated
Yes
Genre
Computers, Mathematics

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