A LEARNING ALGORITHM WITH MULTIPLE CRITERIA FOR SELF-ORGANIZING FEATURE MAPS

Kung-Pu Li

doi:10.1016/b978-0-444-89178-5.50087-7

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A LEARNING ALGORITHM WITH MULTIPLE CRITERIA FOR SELF-ORGANIZING FEATURE MAPS

Kung-Pu Li

Year: 1991 Elsevier eBooks Pages: 1353-1356 Publisher: Elsevier BV

DOI: 10.1016/b978-0-444-89178-5.50087-7

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Keywords:

Competitive learning Unsupervised learning Cluster analysis Computer science Artificial intelligence Pattern recognition (psychology) Algorithm Wake-sleep algorithm Feature learning Machine learning

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A LEARNING ALGORITHM WITH MULTIPLE CRITERIA FOR SELF-ORGANIZING FEATURE MAPS

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