Principles of Artificial Neural Networks: Basic Designs to Deep Learning (4th Edition)
| AUTHOR | Graupe, Daniel; Daniel Graupe; Graupe, Daniel et al. |
| PUBLISHER | World Scientific Publishing Company (04/15/2019) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
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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Product Format
Product Details
ISBN-13:
9789811201226
ISBN-10:
9811201226
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
More Product Details
Page Count:
440
Carton Quantity:
9
Product Dimensions:
6.69 x 1.00 x 9.61 inches
Weight:
1.98 pound(s)
Country of Origin:
SG
Subject Information
BISAC Categories
Computers | Artificial Intelligence - General
Computers | Data Science - Neural Networks
Dewey Decimal:
006.32
Descriptions, Reviews, Etc.
publisher marketing
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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List Price $158.00
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$156.42