Neural Networks for Optimization & Signal Processing
Autor A Cichockien Limba Engleză Hardback – 13 apr 1993
* 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
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Specificații
ISBN-13: 9780471930105
ISBN-10: 0471930105
Pagini: 548
Dimensiuni: 161 x 239 x 37 mm
Greutate: 0.95 kg
Editura: Wiley
Locul publicării:Chichester, United Kingdom
ISBN-10: 0471930105
Pagini: 548
Dimensiuni: 161 x 239 x 37 mm
Greutate: 0.95 kg
Editura: Wiley
Locul publicării:Chichester, United Kingdom
Notă biografică
Descriere
A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but also to create new techniques and architectures. Provides in-depth coverage of mathematical modeling along with illustrative computer simulation results.