Description: Feedforward Neural Network Methodology Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Terrence L. Fine Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781475773095, 978-1475773095 Synopsis This decade has seen an explosive growth in computational speed and memory and a rapid enrichment in our understanding of artificial neural networks. These two factors provide systems engineers and statisticians with the ability to build models of physical, economic, and information-based time series and signals. This book provides a thorough and coherent introduction to the mathematical properties of feedforward neural networks and to the intensive methodology which has enabled their highly successful application to complex problems.
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Location: Aldershot
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Book Title: Feedforward Neural Network Methodology
Number of Pages: 340 Pages
Language: English
Publication Name: Feedforward Neural Network Methodology
Publisher: Springer-Verlag New York Inc.
Publication Year: 2013
Subject: Computer Science, Mathematics, Physics
Item Height: 235 mm
Item Weight: 551 g
Type: Textbook
Author: Terrence L. Fine
Series: Information Science and Statistics
Item Width: 155 mm
Format: Paperback