Supervised self organizing maps with fuzzy error correction

Details Supervised self organizing maps with fuzzy error correction Supervised self organizing maps with fuzzy error correction

2007-01-02

2007-01-02

Wong, Leslie (Department: 2167)

Data processing: artificial intelligence

Machine learning

C707S793000, C705S014270

Reexamination Certificate

active

10302694

ABSTRACT:
A system and a method for an automated intelligent information mining includes receiving unstructured text from various text sources; extracting multiple key-phrases from the unstructured text; generating template and dynamic information contextual relation maps by mapping the extracted key-phrases to three-dimensional maps using a self organizing map, and a gaussian distribution technique. Further, the technique includes forming word clusters and constructing corresponding key-phrase frequency histograms for each of the generated contextual relation maps. Template and dynamic information three-dimensional structured document maps from the constructed phrase frequency histograms and the generated self-organizing maps. Desired information is extracted by mapping the generated dynamic information three-dimensional structured map onto the template three-dimensional structured map. A fuzzy prediction algorithm is used in possible error correction in extracting the desired intelligent information. A negative learning error correcting algorithm is used to correct the three-dimensional template relation maps depending on the fuzzy feedback.

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