Translation of a neural network into a rule-based expert system

G - Physics – 06 – F

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G06F 15/18 (2006.01) G06N 3/04 (2006.01)

Patent

CA 2077626

ABSTRACT OF THE DISCLOSURE A rule-based expert system is generated from a neural network. The neural network is trained in such a way as to avoid redundancy and to select input weights to the various processing elements in such a way as to nullify the input weights which have smaller absolute values. The neural network is translated into a set of rules by a heuristic search technique. Additionally, the translation distinguishes between positive and negative attributes for efficiency and can adequately explore rule size exponential with a given parameter. Both explicit and implicit knowledge of adapted neural networks are decoded and represented as if - then rules.

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