This book presents a cohesive set of contributions dealing with important issues and applications of soft computing in systems and control technology. The contributions include state-of-the-art material, mathematical developments, fresh results, and how-to-do issues. Among the problems studied via neural, fuzzy, neurofuzzy and genetic methodologies are: data fusion, reinforcement learning, approximation properties, multichannel imaging, signal processing, system optimization, gaming, and several forms of control.

The book can serve as a reference for researchers and practitioners in the field. Readers can find in it a large amount of useful and timely information, and thus save considerable effort in searching for other scattered literature.

Contents:

• Neural Networks in System Identification and Control:
• Supervised Learning in Multilayer Perceptrons: The Back-Propagation Algorithm (S G Tzafestas & Y Anthopoulos)
• Identification of Two-Dimensional State Space Discrete Systems Using Neural Networks (D Wang & A Zilouchian)
• Neural Networks for Control (R J Mitchell)
• Neuro-Based Adaptive Regulator (T Tsuji et al.)
• Local Model Networks and Self-Tuning Predictive Control (P J Gawthrop & E Ronco)
• Fuzzy and Neuro-Fuzzy Systems in Modeling, Control and Robot Path Planning:
• An On-Line Self Constructing Fuzzy Modeling Architecture Based on Neural and Fuzzy Concepts and Techniques (S G Tzafestas & K C Zikidis)
• Neuro-Fuzzy Model Based Control (D Matko et al.)
• Fuzzy and Neurofuzzy Approaches to Mobile Robot Path and Motion Planning Under Uncertainty (C S Tzafestas & S G Tzafestas)
• Genetic-Evolutionary Algorithms:
• A Tutorial Overview of Genetic Algorithms and Their Applications (S G Tzafestas et al.)
• Results from a Variety of Genetic Algorithm Applications Showing the Robustness of the Approach (W D Potter et al.)
• Evolutionary Algorithms in Computer-Aided Design of Integrated Circuits (R Drechsler et al.)
• Soft Computing Applications:
• Soft Data Fusion (C G Looney & Y Varol)
• Application of Neural Networks to Computer Gaming (N Baba)
• Coherent Neural Networks and Their Applications to Control and Signal Processing (A Hirose)
• Neural, Fuzzy and Evolutionary Reinforcement Learning Systems: An Application Case Study (D A Linkens & H O Nyongesa)
• Neural Networks in Industrial and Environmental Applications (G C Smith & C L Wrobel)