Paper Key : IRJ************536
Author: Nitish Girish Verma,Shivam Shyamkumar Vishwakarma
Date Published: 03 Feb 2025
Abstract
Neural networks, a key component of soft computing, offer powerful solutions to complex, nonlinear problems characterized by uncertainty and imprecision. This paper explores the principles, architecture, and applications of neural networks in soft computing, focusing on their role in pattern recognition, classification, and optimization. We examine their integration with other soft computing techniques, such as fuzzy logic and genetic algorithms, to enhance problem-solving capabilities in dynamic environments. The paper also discusses current trends and future research directions aimed at improving the scalability and efficiency of neural network models.
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