Description: Principal Component Neural Networks : Theory and Applications, Hardcover by Diamantaras, Konstantinos I.; Kung, S. Y., ISBN 0471054364, ISBN-13 9780471054368, Like New Used, Free P&P in the UK Explicates the relationship between principle component analysis (PCA) and neural networks, studying issues pertaining to both neural network models, such as network structures and algorithms, and theoretical extensions/generalizations of PCA. Includes reference mathematical appendices. Of interest to readers with background in college calculus and probability theory, in disciplines such as mathematics; statistics; neuropsychology; artificial intelligence; and engineering. Annotation c. by Book News, Inc., Portland, Or.
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Book Title: Principal Component Neural Networks : Theory and Applications
Number of Pages: 272 Pages
Publication Name: Principal Component Neural Networks: Theory and Applications
Language: English
Publisher: John Wiley & Sons INC International Concepts
Item Height: 244 mm
Subject: Computer Science
Publication Year: 1996
Type: Textbook
Item Weight: 556 g
Author: S. Y. Kung, K. I. Diamantaras
Item Width: 166 mm
Series: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Format: Hardcover
