Neural Network Parallel Computing.

Yoshiyasu Takefuji.

ISBN 10: 079239190X / ISBN 13: 9780792391906

Editore: Kluwer Academic Pubishers Group, Boston, MA, 1992

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EX-LIBRARY copy, showing the usual markings and treatments thereof. Else, Very Good+: shows a very mild bump to the lower front corner tip and the mildest rubbing. The binding is square and secure; the text is clean. Free of any creased or dog-eared pages in the text. Free of any underlining, hi-lighting or marginalia or marks in the text. A very nearly-new copy, structurally sound and tightly bound, showing the obvious library flaws, otherwise bright and clean. Close to 'As New'. NOT a Remainder or Book-Club. 8vo. (9.5 x 6.5 x 0.8 inches). viii, 230 pages. Language: English. Weight: 1 pound, 6.2 ounces. The Springer International Series in Engineering and Computer Science Series (Book 164). First Edition (1992), unstated. Hardback: Laminate Boards. Codice articolo 52299

Dati bibliografici

Titolo: Neural Network Parallel Computing.

Casa editrice: Kluwer Academic Pubishers Group, Boston, MA

Data di pubblicazione: 1992

Legatura: Hardcover

Edizione: First Edition (1992), unstated.

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