A general theory of a class of linear neural nets for principal and minor component analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology
Link
http://link.springer.com/content/pdf/10.1007/BF02481189.pdf
Reference16 articles.
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3. Rubner J, Travan P (1989) A self-organizing network for principal component analysis. Europhys Lett 10:693–698
4. Leen TK (1991) Dynamics of learning in recurrent featurediscovery networks. Network 2:85–105
5. Hornik and Kuan (1992) Convergence analysis of local feature extraction algorithms. Neural Networks 5:229–240
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