Neural Network Parallel Computing

Yoshiyasu Takefuji

ISBN 10: 1461366208 / ISBN 13: 9781461366201

Editore: Springer US, Springer US Dez 2012, 2012

Riguardo questo articolo

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch.

Codice articolo 9781461366201

Dati bibliografici

• Titolo: Neural Network Parallel Computing
• Editore: Springer US, Springer US Dez 2012
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1461366208
• ISBN 13: 9781461366201
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 240 L x 160 A x 14 P (millimetri) 240 millimetri di larghezza per 160 millimetri di altezza per 14 millimetri di profondità
• Peso: 403 grammi

Descrizione articolo

Riassunto

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.

Recensione

` 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