• 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

• 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

• 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