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PRINCIPLES OF ARTIFICIAL NEURAL NETWORKS: BASIC DESIGNS TO DEEP LEARNING 4E
Título:
PRINCIPLES OF ARTIFICIAL NEURAL NETWORKS: BASIC DESIGNS TO DEEP LEARNING 4E
Subtítulo:
Autor:
GRAUPE, D
Editorial:
WORLD SCIENTIFIC
Año de edición:
2019
Materia
INTELIGENCIA ARTIFICIAL - GENERAL
ISBN:
978-981-12-0122-6
Páginas:
440
150,80 €

 

Sinopsis

The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks -- demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.