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|Title:||On extracting knowledge from neural networks||Authors:||Tan, Kian Huat.||Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems||Issue Date:||2002||Abstract:||The primary contribution of the thesis is an algorithm that overcomes the significant limitations of previous methods by taking an approach to the task of extracting comprehensible rules from trained networks. This algorithm is called HyperNeuro. Given a neural network, HyperNeuro extracts linear if-then-else decision rules from trained neural networks that have been trained for classification problems..||URI:||http://hdl.handle.net/10356/3372||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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