Neuro-Fuzzy & Soft Computing: A Computational Approach To Learning And Machine | By Jang | Revised Edition | Pearson Publication ( English Medium )

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Neuro-Fuzzy & Soft Computing: A Computational Approach To Learning And Machine | By Jang | Revised Edition | Pearson Publication ( English Medium ).

Neuro-Fuzzy & Soft Computing: A Computational Approach To Learning And Machine is a comprehensive guide to the field of soft computing, focusing on neuro-fuzzy systems and their applications in machine learning. Written by Jang, this revised edition from Pearson Publication offers a detailed introduction to the concepts and techniques of neuro-fuzzy systems, making it an essential resource for students and professionals in the field. The book begins with an overview of soft computing and its various components, including fuzzy logic, neural networks, and genetic algorithms. It then delves into the fundamentals of neuro-fuzzy systems, explaining how they combine the strengths of fuzzy logic and neural networks to create powerful computational models. The author covers topics such as fuzzy sets, fuzzy rules, adaptive neuro-fuzzy inference systems (ANFIS), and more, providing readers with a solid foundation in the subject. One of the key features of Neuro-Fuzzy & Soft Computing is its practical approach to learning. The book includes numerous examples, case studies, and exercises that help readers understand how to apply neuro-fuzzy systems in real-world scenarios. From pattern recognition to data mining to control systems, Jang demonstrates how these techniques can be used effectively across a wide range of applications. In addition to its focus on theory and practice, this revised edition also includes new material on recent developments in the field. Readers will find updated information on topics such as deep learning, reinforcement learning, and swarm intelligence, giving them insight into cutting-edge research in soft computing. Overall, Neuro-Fuzzy & Soft Computing: A Computational Approach To Learning And Machine is a valuable resource for anyone interested in exploring the intersection of fuzzy logic and neural networks. Whether you are a student looking to expand your knowledge or a professional seeking to enhance your skills, this book offers a comprehensive introduction to the world of neuro-fuzzy systems.

This book delivers a rigorous and unified treatment of neuro-fuzzy systems and soft computing, presenting them as core methods in computational intelligence. It explores how neural networks, fuzzy logic, clustering methods, and stochastic optimization can be combined to tackle real-world problems characterized by uncertainty, nonlinearity, and noise.

Search Key - Neuro-Fuzzy & Soft Computing book, Jang Neuro-Fuzzy & Soft Computing, Pearson Publication Neuro-Fuzzy & Soft Computing, Computational approach to learning and machine, Soft computing techniques, Fuzzy logic basics, Neural networks applications, ANFIS models explained, Pattern recognition with neuro-fuzzy systems, Data mining using soft computing, Control systems with fuzzy logic, Deep learning advancements in soft computing, Reinforcement learning in neuro-fuzzy systems, Swarm intelligence applications, Practical examples in soft computing, Case studies in neuro-fuzzy systems, Exercises for learning fuzzy logic, Latest research in soft computing, Applications of fuzzy logic and neural networks, Revised edition of Neuro-Fuzzy & Soft Computing, Publisher ‏ : ‎ Pearson Education India; 1st edition (1 January 2015); Pearson Education, Language ‏ : ‎ English, Paperback ‏ : ‎ 640 pages, ISBN-10 ‏ : ‎ 9332549885, ISBN-13 ‏ : ‎ 978-9332549883.

Product Details

SKU / BOOK Code:	Pear-neu-fuz-sof-com-Jang-(E)
Publisher:	Pearson Publication
Author:	By Jang
Binding Type:	Paperback
No. of Pages:	640
ISBN-10:	9332549885
ISBN-13:	978-9332549883
Edition:	Revised Edition
Language:	English Medium
Publish Year:	2025-11
Weight (g):	2000
Product Condition:	New
Reading Age:	Above 10 Years
Country of Origin:	India
Genre:	Competitive Books
Manufacturer:	Pearson Publication
Importer:	Pearson Publication
Packer:	Fullfilled by Supplier

Product Description

Neuro-Fuzzy & Soft Computing: A Computational Approach To Learning And Machine | By Jang | Revised Edition | Pearson Publication ( English Medium ).

Neuro-Fuzzy & Soft Computing: A Computational Approach To Learning And Machine is a comprehensive guide to the field of soft computing, focusing on neuro-fuzzy systems and their applications in machine learning. Written by Jang, this revised edition from Pearson Publication offers a detailed introduction to the concepts and techniques of neuro-fuzzy systems, making it an essential resource for students and professionals in the field. The book begins with an overview of soft computing and its various components, including fuzzy logic, neural networks, and genetic algorithms. It then delves into the fundamentals of neuro-fuzzy systems, explaining how they combine the strengths of fuzzy logic and neural networks to create powerful computational models. The author covers topics such as fuzzy sets, fuzzy rules, adaptive neuro-fuzzy inference systems (ANFIS), and more, providing readers with a solid foundation in the subject. One of the key features of Neuro-Fuzzy & Soft Computing is its practical approach to learning. The book includes numerous examples, case studies, and exercises that help readers understand how to apply neuro-fuzzy systems in real-world scenarios. From pattern recognition to data mining to control systems, Jang demonstrates how these techniques can be used effectively across a wide range of applications. In addition to its focus on theory and practice, this revised edition also includes new material on recent developments in the field. Readers will find updated information on topics such as deep learning, reinforcement learning, and swarm intelligence, giving them insight into cutting-edge research in soft computing. Overall, Neuro-Fuzzy & Soft Computing: A Computational Approach To Learning And Machine is a valuable resource for anyone interested in exploring the intersection of fuzzy logic and neural networks. Whether you are a student looking to expand your knowledge or a professional seeking to enhance your skills, this book offers a comprehensive introduction to the world of neuro-fuzzy systems.

This book delivers a rigorous and unified treatment of neuro-fuzzy systems and soft computing, presenting them as core methods in computational intelligence. It explores how neural networks, fuzzy logic, clustering methods, and stochastic optimization can be combined to tackle real-world problems characterized by uncertainty, nonlinearity, and noise.

Search Key - Neuro-Fuzzy & Soft Computing book, Jang Neuro-Fuzzy & Soft Computing, Pearson Publication Neuro-Fuzzy & Soft Computing, Computational approach to learning and machine, Soft computing techniques, Fuzzy logic basics, Neural networks applications, ANFIS models explained, Pattern recognition with neuro-fuzzy systems, Data mining using soft computing, Control systems with fuzzy logic, Deep learning advancements in soft computing, Reinforcement learning in neuro-fuzzy systems, Swarm intelligence applications, Practical examples in soft computing, Case studies in neuro-fuzzy systems, Exercises for learning fuzzy logic, Latest research in soft computing, Applications of fuzzy logic and neural networks, Revised edition of Neuro-Fuzzy & Soft Computing, Publisher ‏ : ‎ Pearson Education India; 1st edition (1 January 2015); Pearson Education, Language ‏ : ‎ English, Paperback ‏ : ‎ 640 pages, ISBN-10 ‏ : ‎ 9332549885, ISBN-13 ‏ : ‎ 978-9332549883.

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