Designs and Applied Principles of Artificial Neural Networks

Jeremy Rogerson

ISBN 10: 163240138X / ISBN 13: 9781632401380

Editore: ML Books International - IPS, 2015

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nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a broad overview on the current various design modules and applications of artificial neural systems. Artificial neural networks are often dubbed as one of the most acknowledged technologies in the past twenty years. It has been broadly applied in a wide diversity of applications. The aim of this book is to present current developments of architectures, methodologies, and usage of artificial neural networks. The topics in this book majorly deal with two important aspects: the architecture aspect involving dealing with architectures, design, optimization, and the analysis of artificial neural networks; and the application aspect dealing with applications of artificial neural networks in a broad spectrum of areas comprising of biomedical, industrial, physics, and financial applications. This book will be an important source of reference for graduate students and engineers in various organizations.

Codice articolo 9781632401380

Dati bibliografici

• Titolo: Designs and Applied Principles of Artificial Neural Networks
• Editore: ML Books International - IPS
• Data di pubblicazione: 2015
• Lingua: Inglese
• ISBN 10: 163240138X
• ISBN 13: 9781632401380
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 235 L x 157 A x 19 P (millimetri) 235 millimetri di larghezza per 157 millimetri di altezza per 19 millimetri di profondità
• Peso: 535 grammi

Descrizione articolo

Riassunto

This book presents a broad overview on the current various design modules and applications of artificial neural systems. Artificial neural networks are often dubbed as one of the most acknowledged technologies in the past twenty years. It has been broadly applied in a wide diversity of applications. The aim of this book is to present current developments of architectures, methodologies, and usage of artificial neural networks. The topics in this book majorly deal with two important aspects: the architecture aspect involving dealing with architectures, design, optimization, and the analysis of artificial neural networks; and the application aspect dealing with applications of artificial neural networks in a broad spectrum of areas comprising of biomedical, industrial, physics, and financial applications. This book will be an important source of reference for graduate students and engineers in various organizations.