Modified Fuzzy Hyperline Segment Neural Network for Pattern Classification and Recognition

Abstract

The Fuzzy Hyperline Segment Neural Network (FHLSNN) utilizes fuzzy set as pattern classes in which each fuzzy set is a union of fuzzy set hyperline segments. This is supervised classifier that forms n-dimensional hyperline segments defined by two end points with a corresponding membership function for learning and prediction. In this paper, we propose the… (More)

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Cite this paper

@inproceedings{Simpson2014ModifiedFH, title={Modified Fuzzy Hyperline Segment Neural Network for Pattern Classification and Recognition}, author={Patrick K. Simpson}, year={2014} }