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Item Details
Title: NEURAL BASED ORTHOGONAL DATA FITTING
THE EXIN NEURAL NETWORKS
By: Giansalvo Cirrincione, Maurizio Cirrincione, Sabine van Huffel
Format: Hardback

List price: £86.95


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ISBN 10: 0471322709
ISBN 13: 9780471322702
Publisher: JOHN WILEY AND SONS LTD
Pub. date: 5 February, 2008
Series: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning,
Pages: 244
Description: Written by two leaders in the field of neural based algorithms, Neural Based Orthogonal Data Fitting proposes several neural networks, all endowed with a complete theory which not only explains their behavior, but also compares them with the existing neural and traditional algorithms.
Synopsis: Written by two leaders in the field of neural based algorithms, Neural Based Orthogonal Data Fitting proposes several neural networks, all endowed with a complete theory which not only explains their behavior, but also compares them with the existing neural and traditional algorithms. The algorithms are studied from different points of view, including: as a differential geometry problem, as a dynamic problem, as a stochastic problem, and as a numerical problem. All algorithms have also been analyzed on real time problems (large dimensional data matrices) and have shown accurate solutions. Where most books on the subject are dedicated to PCA (principal component analysis) and consider MCA (minor component analysis) as simply a consequence, this is the fist book to start from the MCA problem and arrive at important conclusions about the PCA problem.
Illustrations: Illustrations
Publication: UK
Imprint: Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
Returns: Returnable
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