Neural Networks and Fuzzy Systems: A Synergistic Approach

ALLADI DEEKSHITH

Abstract


This study explores the foundational principles and components of neural networks and fuzzy systems, emphasizing their unique properties and collaborative potential. The integration of these techniques, known as neuro-fuzzy systems, has demonstrated remarkable effectiveness in addressing complex, real-world problems. This paper highlights the essential characteristics of neural networks and fuzzy systems, delves into their hybridization, and examines the neuro-fuzzy process and its various frameworks. The aim is to provide a comprehensive understanding of these synergistic approaches and their transformative impact on problem-solving across diverse domains.


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