Neural Network Parallel Computing

Inbunden, Engelska, 1992

AvYoshiyasu Takefuji

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This introductory book is aimed not only for the novice reader, but also 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 aim of the book is to facilitate an understanding as to the uses of neural network models in real-world applications. It demonstrates the computational power of neural network computing by solving numerous problems such as N-queen, crossbar switch scheduling, four-colouring and k-colorability, graph planarization and channel routing, RNA secondary structure prediction, knight's tour, spare allocation, sorting and searching, and tiling.

Produktinformation

Utgivningsdatum1992-01-31
Mått155 x 235 x 21 mm
Vikt553 g
FormatInbunden
SpråkEngelska
SerieSpringer International Series in Engineering and Computer Science
Antal sidor230
Upplaga1992
FörlagKluwer Academic Publishers
ISBN9780792391906

Tillhör följande kategorier

1. Neural Network Models and N-Queen Problems.- 2. Crossbar Switch Scheduling Problems.- 3. Four-Coloring and K-Colorability Problems.- 4. Graph Planarization Problems.- 5. Channel Routing Problems.- 6. RNA Secondary Structure Prediction.- 7. Knight’s Tour Problems.- 8. Spare Allocation Problems.- 9. Sorting and Searching.- 10. Tiling Problems.- 11. Silicon Neural Networks.- 12. Mathematical Background.- 13. Forthcoming Applications.- 14. Conjunctoids and Artificial Learning.

' 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