Neural Networks & Fuzzy Logic
Book Details:
• Author: Dr. R.P. Das
• Publisher: S.K. Kataria & Sons
• Edition: 2012
• Language: English
• Number of Pages: 250
• Binding: Paperback
• Release Date: 01 January 2012
• ISBN: 9789350142707
Description:
Neural Networks & Fuzzy Logic is a comprehensive academic book designed for computer science, electronics, and artificial intelligence students. Written by Dr. R.P. Das, the book explains the principles, models, and applications of neural networks and fuzzy logic systems in a clear and systematic manner.
The book provides detailed coverage of important concepts related to artificial neural networks, fuzzy logic, intelligent systems, pattern recognition, learning algorithms, and soft computing techniques. The content is presented in an easy-to-understand format, making it suitable for academic studies, technical learning, and examination preparation.
With well-organized chapters and practical AI concepts, this book serves as an excellent academic and reference resource for university studies, competitive examinations, and professional learning in the field of neural networks, fuzzy systems, and artificial intelligence.
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Description
Book Details:
• Author: Dr. R.P. Das
• Publisher: S.K. Kataria & Sons
• Edition: 2012
• Language: English
• Number of Pages: 250
• Binding: Paperback
• Release Date: 01 January 2012
• ISBN: 9789350142707
Description:
Neural Networks & Fuzzy Logic is a comprehensive academic book designed for computer science, electronics, and artificial intelligence students. Written by Dr. R.P. Das, the book explains the principles, models, and applications of neural networks and fuzzy logic systems in a clear and systematic manner.
The book provides detailed coverage of important concepts related to artificial neural networks, fuzzy logic, intelligent systems, pattern recognition, learning algorithms, and soft computing techniques. The content is presented in an easy-to-understand format, making it suitable for academic studies, technical learning, and examination preparation.
With well-organized chapters and practical AI concepts, this book serves as an excellent academic and reference resource for university studies, competitive examinations, and professional learning in the field of neural networks, fuzzy systems, and artificial intelligence.
