Neural Network & Fuzzy Logic
Book Details:
• Author: Vinoth Kumar
• Publisher: S.K. Kataria & Sons
• Edition: Reprint 2012
• Language: English
• Number of Pages: 300
• Binding: Paperback
• Release Date: 01 January 2012
• ISBN: 9789380027784
Description:
This book is a comprehensive introduction to neural networks and fuzzy logic systems, specially designed for computer science, electronics, and artificial intelligence students. Written by Vinoth Kumar, the book explains the principles and applications of neural networks and fuzzy systems in a clear and systematic manner.
The book covers important topics including artificial neural models, single layer feedforward neural networks, multilayer feedforward neural networks, associative memory networks, classical and fuzzy sets, fuzzy logic system components, and neural network applications. It also includes solved examination papers, references, and index for academic preparation and better understanding of advanced computing concepts.
With well-organized content and easy-to-understand explanations, this book serves as an excellent academic and reference resource for university studies, technical learning, competitive examinations, and professional understanding in the field of artificial intelligence and neural network systems.
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Description
Book Details:
• Author: Vinoth Kumar
• Publisher: S.K. Kataria & Sons
• Edition: Reprint 2012
• Language: English
• Number of Pages: 300
• Binding: Paperback
• Release Date: 01 January 2012
• ISBN: 9789380027784
Description:
This book is a comprehensive introduction to neural networks and fuzzy logic systems, specially designed for computer science, electronics, and artificial intelligence students. Written by Vinoth Kumar, the book explains the principles and applications of neural networks and fuzzy systems in a clear and systematic manner.
The book covers important topics including artificial neural models, single layer feedforward neural networks, multilayer feedforward neural networks, associative memory networks, classical and fuzzy sets, fuzzy logic system components, and neural network applications. It also includes solved examination papers, references, and index for academic preparation and better understanding of advanced computing concepts.
With well-organized content and easy-to-understand explanations, this book serves as an excellent academic and reference resource for university studies, technical learning, competitive examinations, and professional understanding in the field of artificial intelligence and neural network systems.
