Fundamentals of Soft Computing
Soft Computing and Artificial Intelligence (English Version)
- Publisher: S.K. Kataria & Sons
- Author: K. Vinoth Kumar
- Language: English
- Edition: 2012
- Pages: 450
- Cover: Paperback
- ISBN: 9789350141168
About the Book
Soft Computing and Artificial Intelligence by K. Vinoth Kumar is a comprehensive textbook designed for students of computer science, information technology, electronics, and artificial intelligence studies. The book provides a detailed understanding of soft computing techniques, neural networks, fuzzy logic, and intelligent systems used in modern computational applications.
The text begins with an introduction to soft computing and artificial intelligence concepts, followed by discussions on AI problems and solution techniques. It further explains neural networks, artificial neural models, feedforward neural networks, associative memory networks, counter propagation networks, Hopfield networks, and adaptive resonance theory in a clear and systematic manner.
Advanced topics such as classical and fuzzy sets, fuzzy logic systems, genetic algorithms, neuro-fuzzy systems, fuzzy arithmetic, and uncertainty-based information are covered comprehensively to help students understand intelligent computing methods and their practical applications.
Written in a student-friendly style with strong academic focus, this book serves as an excellent reference for undergraduate and postgraduate students, technical learners, and candidates preparing for examinations related to artificial intelligence, machine learning, and soft computing technologies.
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Description
Soft Computing and Artificial Intelligence (English Version)
- Publisher: S.K. Kataria & Sons
- Author: K. Vinoth Kumar
- Language: English
- Edition: 2012
- Pages: 450
- Cover: Paperback
- ISBN: 9789350141168
About the Book
Soft Computing and Artificial Intelligence by K. Vinoth Kumar is a comprehensive textbook designed for students of computer science, information technology, electronics, and artificial intelligence studies. The book provides a detailed understanding of soft computing techniques, neural networks, fuzzy logic, and intelligent systems used in modern computational applications.
The text begins with an introduction to soft computing and artificial intelligence concepts, followed by discussions on AI problems and solution techniques. It further explains neural networks, artificial neural models, feedforward neural networks, associative memory networks, counter propagation networks, Hopfield networks, and adaptive resonance theory in a clear and systematic manner.
Advanced topics such as classical and fuzzy sets, fuzzy logic systems, genetic algorithms, neuro-fuzzy systems, fuzzy arithmetic, and uncertainty-based information are covered comprehensively to help students understand intelligent computing methods and their practical applications.
Written in a student-friendly style with strong academic focus, this book serves as an excellent reference for undergraduate and postgraduate students, technical learners, and candidates preparing for examinations related to artificial intelligence, machine learning, and soft computing technologies.
