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Handbook of Neural Computation

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Handbook of Neural Computation Synopsis

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.

About This Edition

ISBN: 9780128113189
Publication date: 18th July 2017
Author: Pijush (Associate Professor, National Institute of Technology, Patna, India) Samui
Publisher: Academic Press Inc an imprint of Elsevier Science Publishing Co Inc
Format: Paperback
Pagination: 658 pages
Genres: Industrial chemistry and chemical engineering
Biotechnology
Operational research
Enterprise software