1. Introduction.- 2. Fuzzy Logic.- 3. Fuzzy Control.- 4. Artificial Neural Networks.- 5. Neural Networks for Modeling and Controlling Dynamical Systems.- 6. Evolutionary Optimization Algorithm.- 7. Cellular Neural Networks.- 8. Complex Dynamics and Cellular Neural Networks.- 9. Neuro-fuzzy Networks.- 10. Fuzzy Cellular Neural Networks.- 11. Fuzzy Systems Optimization by Means of Genetic Algorithms.- 12. Neuro-fuzzy Strategies for Monitoring Urban Traffic Noise.- 13. Modeling and Control of a Robot for Picking Citrus Fruit.- 14. Modeling and Control of RTP Systems.- 15. A Neural Network to Predict Air Pollution in Industrial Areas.- 16. Conclusions.

The book presents a clear understanding of a new type of computation system, the Cellular Neural Network (CNN), which has been successfully applied to the solution of many heavy computation problems, mainly in the fields of image processing and complex partial differential equations. The text describes how CNN will improve the soft-computation toolbox, and examines the many applications of soft computing to complex systems.