A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into

This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first h

Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who w

Designed as an introductory level textbook on Artificial Neural Networks at the postgraduate and senior undergraduate levels in any branch of engineering, this

This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statis