Artificial neural networks (ANNs) have gained immense popularity and proven to be valuable models for various tasks such as classification, clustering, pattern recognition, and prediction across multiple disciplines. As a type of machine learning (ML) model, ANNs have emerged as strong competitors to conventional regression and statistical models in terms of their utility and effectiveness.This book explores the latest advancements in the field, providing readers with a deeper understanding of their applications and ...
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Artificial neural networks (ANNs) have gained immense popularity and proven to be valuable models for various tasks such as classification, clustering, pattern recognition, and prediction across multiple disciplines. As a type of machine learning (ML) model, ANNs have emerged as strong competitors to conventional regression and statistical models in terms of their utility and effectiveness.This book explores the latest advancements in the field, providing readers with a deeper understanding of their applications and potential. With its practical approach and insightful examples, it is an invaluable resource for researchers and practitioners in the field of artificial intelligence.
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