Neural Network Parallel Computing: 164 (The Springer International Series in Engineering and Computer Science, 164) - Tapa dura

Takefuji, Yoshiyasu

 
9780792391906: Neural Network Parallel Computing: 164 (The Springer International Series in Engineering and Computer Science, 164)
Tapa dura
ISBN 10: 079239190X ISBN 13: 9780792391906
Editorial: Springer, 1992

Sinopsis

Neural Network Parallel Computing is the first book available to the professional market on neural network computing for optimization problems. This introductory book is not only for the novice reader, but for experts in a variety of areas including parallel computing, neural network computing, computer science, communications, graph theory, computer aided design for VLSI circuits, molecular biology, management science, and operations research. The goal of the book is to facilitate an understanding as to the uses of neural network models in real-world applications.
Neural Network Parallel Computing presents a major breakthrough in science and a variety of engineering fields. The computational power of neural network computing is demonstrated by solving numerous problems such as N-queen, crossbar switch scheduling, four-coloring and k-colorability, graph planarization and channel routing, RNA secondary structure prediction, knight’s tour, spare allocation, sorting and searching, and tiling.
Neural Network Parallel Computing is an excellent reference for researchers in all areas covered by the book. Furthermore, the text may be used in a senior or graduate level course on the topic.

"Sinopsis" puede pertenecer a otra edición de este libro.

Críticas

` This is really the first good book on neural computing for optimization problems.
Neural Network Parallel Computing is an excellent reference for researchers working on optimization problems, and for engineers searching for practical problem-solving methods.
Overall, the book is a fascinating presentation of a very difficult problem of contemporary science. '
IEEE Parallel & Distributed Technology, Fall 1994
'However, the book does provide many useful algorithms and applications of neural networks. It is a worthwhile addition to a library of neutral network research.' Journal of systems and Control Engineering 206 1992

Reseña del editor

Neural Network Parallel Computing is the first book available to the professional market on neural network computing for optimization problems. This introductory book is not only for the novice reader, but for experts in a variety of areas including parallel computing, neural network computing, computer science, communications, graph theory, computer aided design for VLSI circuits, molecular biology, management science, and operations research. The goal of the book is to facilitate an understanding as to the uses of neural network models in real-world applications.
Neural Network Parallel Computing presents a major breakthrough in science and a variety of engineering fields. The computational power of neural network computing is demonstrated by solving numerous problems such as N-queen, crossbar switch scheduling, four-coloring and k-colorability, graph planarization and channel routing, RNA secondary structure prediction, knight's tour, spare allocation, sorting and searching, and tiling.
Neural Network Parallel Computing is an excellent reference for researchers in all areas covered by the book. Furthermore, the text may be used in a senior or graduate level course on the topic.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
1992
Idioma
Inglés
ISBN 10 
079239190X
ISBN 13 
9780792391906
Encuadernación
Tapa dura
Número de páginas
248
Contacto del fabricante
Springer-Verlag GmbH
customerservice@springernature.com

Tiergartenstraße 17
Heidelberg
Baden-Württemberg
69121
Alemania

Otras ediciones populares con el mismo título

9781461366201: Neural Network Parallel Computing: 164 (The Springer International Series in Engineering and Computer Science)

Edición Destacada

ISBN 10:  1461366208 ISBN 13:  9781461366201
Editorial: Springer, 2012
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