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A Unified Self-Stabilizing Neural Network Algorithm for Principal and Minor Components Extraction

โœ Scribed by Xiangyu Kong; Changhua Hu; Hongguang Ma; Chongzhao Han

Book ID
114661563
Publisher
Institute of Electrical and Electronics Engineers
Year
2012
Tongue
English
Weight
814 KB
Volume
23
Category
Article
ISSN
2162-237X

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Principal component and minor component extractions provide powerful techniques in many information-processing fields. However, by conventional algorithms minor component extraction is much more difficult than principal component extraction. A unified algorithm which can be used to extract both prin

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โœ Fa-Long Luo; Rolf Unbehauen ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 21 KB

This letter points out that the unified algorithm given by Chen et al. (Chen, T., Amari, S., & Lin, Q. (1998). Neural Networks, 11, 385-390) is a direct generalization of our invariant-norm algorithm. However, this direct-generalized unified algorithm is not practical from the learning point of view