Neuro-Fuzzy and Soft Computing A Computational Approach to Learning and Machine Intelligence by Jang, Jyh-Shing Roger pdf - Neuro-Fuzzy and Soft Computing A Computational Approach to Learning and Machine Intelligence by Jang, Jyh-Shing Roger link
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Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence by Jyh-Shing Roger Jang is a comprehensive guide that explores the intersection of neural networks, fuzzy logic, and soft computing techniques. The book provides a detailed overview of these complex concepts and demonstrates how they can be applied to solve real-world problems in various fields, including engineering, finance, and medicine. Jang presents a clear and accessible introduction to the fundamentals of neuro-fuzzy systems, covering topics such as fuzzy sets, fuzzy logic, neural networks, and genetic algorithms. The book also delves into advanced topics, such as adaptive neuro-fuzzy inference systems (ANFIS) and neuro-fuzzy control. Through numerous examples, case studies, and practical exercises, readers are guided through the process of designing, implementing, and evaluating neuro-fuzzy systems. Additionally, the book includes discussions on the latest research and developments in the field, making it a valuable resource for students, researchers, and practitioners interested in machine intelligence and computational learning.Overall, Neuro-Fuzzy and Soft Computing offers a comprehensive and insightful exploration of these cutting-edge technologies, providing readers with the knowledge and tools needed to harness the power of neuro-fuzzy systems in their own work.
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