Handbook of Neural Computation (Paperback)

Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	July 2017
First published:	2017
Editors:	Pijush Samui • Sanjiban Sekhar Roy • Valentina E. Balas
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	658
ISBN-13:	978-0-12-811318-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Promotions
LSN:	0-12-811318-9
Barcode:	9780128113189

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