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

Daniel Graupe (Autor)

Buch | Hardcover

440 Seiten

2019
World Scientific Publishing Co Pte Ltd (Verlag)
978-981-12-0122-6 (ISBN)

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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.

Erscheinungsdatum	06.04.2019
Reihe/Serie	Advanced Series In Circuits And Systems ; 8
Verlagsort	Singapore
Sprache	englisch
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	981-12-0122-6 / 9811201226
ISBN-13	978-981-12-0122-6 / 9789811201226
Zustand	Neuware