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Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition) by Daniel Graupe (-) at Abbey's Bookshop,
Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition)
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Daniel Graupe (-)

Principles Of Artificial Neural Networks

Basic Designs To Deep Learning (4th Edition)

Daniel Graupe (-)

$284.99

Hardback

Not in-store but you can order this
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English
World Scientific Publishing Co Pte Ltd
18 March 2019
Neural networks & fuzzy systems
Series: Advanced Series In Circuits And Systems
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.
By:  
Imprint:   World Scientific Publishing Co Pte Ltd
Country of Publication:   Singapore
Volume:   8
ISBN:   9789811201226
ISBN 10:   9811201226
Series:   Advanced Series In Circuits And Systems
Pages:   440
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

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