Neural Networks: Theory, Algorithms, Simulation, and Applications (Studies in Computational Intelligence, 1273)

This book offers a comprehensive and up-to-date exploration of one of the most transformative areas of modern computing.This edited book brings together leading researchers and practitioners to present both foundational principles and cutting-edge advances in neural network science. Beginning with the mathematical and theoretical underpinnings of neural computation, the book systematically develops key learning paradigms, architectures, and optimization algorithms.It then bridges theory with practice through detailed discussions of simulation methodologies and performance analysis, enabling readers to model, test, and validate neural systems effectively. A distinctive strength of this book lies in its broad coverage of real-world applications, including pattern recognition, computer vision, natural language processing, biomedical engineering, signal and image processing, financial forecasting, and intelligent control systems.Each chapter highlights practical insights, case studies, and