Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition)

Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition)
Author :
Publisher : World Scientific
Total Pages : 440
Release :
ISBN-10 : 9789811201240
ISBN-13 : 9811201242
Rating : 4/5 (40 Downloads)

Book Synopsis Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition) by : Graupe Daniel

Download or read book Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition) written by Graupe Daniel and published by World Scientific. This book was released on 2019-03-15 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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