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Neural Networks: Theory and Applications by GUNJI DANAIAH is a document available to read on EtoBox.

The document provides an extensive overview of Artificial Neural Networks, discussing their theoretical foundations, system architectures, core algorithms, performance analysis, applications, and challenges. It emphasizes the importance of understanding both strengths and weaknesses of existing approaches to inform design decisions and identify research gaps. The evolution of the field is driven by technological advancements and the need for optimization and scalability in real-world applications.

Author
GUNJI DANAIAH
Language
EN