Intelligent Control Systems Using Soft Computing Methodologies

This book focuses on the design and analysis of biological and industrial control systems. The book begins with the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. It then focuses on the theory and fundamentals of fuzzy logic, implementation, and examples of applications and concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies. MATLAB is used to solve exercises on neural networks. ed.: A. Zilouchian, M. Jamshidi ISBN 0-8493-1875-0

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Artificial intelligence and soft computing

With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature. Artificial Intelligence and Soft Computing fills this gap. It presents both the traditional and the modern aspects of AI and soft computing in a clear, insightful, and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms and demonstrates their applications in real world problems. A. Konar ISBN 0-8493-1385-6

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