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Item Details
| Title:
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NEURAL BASED ORTHOGONAL DATA FITTING
THE EXIN NEURAL NETWORKS |
| By: |
Giansalvo Cirrincione, Maurizio Cirrincione, Sabine van Huffel |
| Format: |
Hardback |
| List price:
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£86.95 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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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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