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This book is designed for Electronics and Computer Science graduate, post graduate students and research scholars. This book provides different optimization algorithms for learning the Artificial Neural Network (ANN) Architecture and connection weights using Evolutionary process on feed-forward networks. Here, it is provided the mathematical model for Evolutionary ANN. It also provides time complexity on different selection methods and their statistical models was generated. Finally a comparative analysis were also made on different parameters.

Produktbeschreibung
This book is designed for Electronics and Computer Science graduate, post graduate students and research scholars. This book provides different optimization algorithms for learning the Artificial Neural Network (ANN) Architecture and connection weights using Evolutionary process on feed-forward networks. Here, it is provided the mathematical model for Evolutionary ANN. It also provides time complexity on different selection methods and their statistical models was generated. Finally a comparative analysis were also made on different parameters.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Autorenporträt
Dr G.Venkata Ramana SAGAR received his Ph.D.,degree in Artificial Neural Networks from JNTUH and working as Associate Professor with 40 publications. He has been doing research in VLSI field on real time audio codec¿s using System On Chip(SOC). He has also completed project titled 'Audio & Video processing System On Chip' sanctioned by UGC, India.