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科图分类法:
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TP183 版次： |
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中图分类法:
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TP183 版次： |
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著者:
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Cirrincione, Giansalvo, |
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题名:
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Neural-based orthogonal data fitting : [ the EXIN neural networks /] / , |
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出版发行:
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出版地： Hoboken, NJ : 出版社： Wiley, 出版日期： 2010. |
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载体形态:
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xviii, 243 p. : ill. ; 24 cm. |
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内容提要:
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"Written by three 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."-- |
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主题词:
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Neural networks (Computer science) |
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主题词:
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Numerical analysis. |
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主题词:
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Orthogonalization methods. |
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主要责任者:
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Cirrincione, Maurizio, |
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索书号:
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1 |