Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/3372
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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