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Abstract : |
Self-Organizing Feature Maps, when used appropriately, can exhibit emergent phenomena. SOFM with only few neurons limit this ability, therefore Emergent Feature Maps need to have thousands of neurons. The structures of Emergent Feature Maps can be visualized using U-Matrix Methods. U-Matrices lead to the construction of self-organzing classifiers possessing the ability to classify new datapoints. This subsymbolic knowledge can be converted to a symbolic form which is understandable for humans. All these steps were combined into a system for Neuronal Data Mining. This system has been applied successfully for Knowledge Discovery in multivariate time series. 1, |
