Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition): Basic Designs to Deep Learning
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Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition): Basic Designs to Deep Learning
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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.
Book Details
- Author: Daniel Graupe
- Publisher: World Scientific
- Edition: 4th Edition
- eBook ISBN: 9789811201240, 9811201242
- Print ISBN: 9789811201226, 9811201226
Product Details
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