Method for converting an existing expert system into one utilizi

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395 11, 395 21, 395 50, 395 52, G06F 1518

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054505275

ABSTRACT:
A technique for converting an existing expert system into one incorporating one or more neural networks includes the steps of separating the knowledge base and inference engine of the existing expert system, identifying the external and internal inputs and outputs, identifying subsystems from the inputs and outputs, using a neural network for each subsystem, training each neural network to learn the production rules of its associated subsystem, and computing exact or interpolated outputs from a given set of inputs. Each neural network utilizes a training algorithm which does not require repetitive training and which yields a global minimum to each given set of inputs.

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Fu, "Building expert systems on neural architecture"; First IEEE International conference on Artificial Neural Networks, pp. 221-225, 16-18, Oct. 1989.
Rabelo et al, "Synergy of artificial neural networks and knowledge-based expert systems for intelligent fms scheduling"; IJCNN International joint conference on neural networks, pp. 359-366, 17-21 Jun. 1990.
Hudlli et al., "A neural network based expert system model"; Third international conference on tools for artificial intelligence TAI 91', pp. 145-149, 10-13, Nov. 1991.

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