Soft Computing : New Trends and Applications /

In the last decade new artificial intelligence methods for the modelling and control of complex systems, namely neural networks, fuzzy logic and probabilistic reasoning have drawn the interest of researchers and engineers. Recently, the advantages achievable by using combinations of these methods, w...

Full description

Bibliographic Details
Main Author:	Fortuna, Luigi
Corporate Author:	SpringerLink (Online service)
Other Authors:	Rizzotto, Gianguido, Lavorgna, Mario, Nunnari, Giuseppe, Xibilia, M. Gabriella, Caponetto, Riccardo
Format:	eBook
Language:	English
Published:	London : Springer London, 2001.
Series:	Advanced textbooks in control and signal processing.
Subjects:	Engineering. Computer-aided design. Physics. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

1. Introduction
2. Fuzzy Logic
3. Fuzzy Control
4. Artificial Neural Networks
5. Neural Networks for Modeling and Controlling Dynamical Systems
6. Evolutionary Optimisation Algorithm
7. Cellular Neural Networks
8. Complex Dynamics and Cellular Neural Networks
9. Neuro-fuzzy Networks
10. Fuzzy Cellular Neural Networks 11. Fuzzy Systems Optimisation 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 Rapid Thermal Process Systems
15. A Neural Network to Predict Air Pollution in Industrial Areas 16. Conclusions.