On extracting knowledge from neural networks
Tan, Kian Huat.
Date of Issue2002
School of Electrical and Electronic Engineering
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..
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Nanyang Technological University