Simulator using a neural network

Boots – shoes – and leggings

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364578, G05B 1304

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active

054187109

ABSTRACT:
A simulator includes a modelling simulate section in which properties of an apparatus to be controlled are modelled. In addition, this simulator includes a neural network in which learning is performed depending on a real control quantity for the apparatus to be controlled. A correction value relative to a simulation control quantity for the modeling simulate section is calculated in the neural network based on a process quantity output from a controlling unit. Thereafter, the simulation control quantity is corrected depending on the calculated correction value. In practice, learning is performed in the neural network by changing a synapse load based on a real quantity for the apparatus to be controlled. As a result of the foregoing correction, the simulator can simulate the real apparatus more accurately.

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Patent Abstracts of Japan, vol. 15, No. 131 (P-1186) (4659) Mar. 29, 1991.
Moorthy et al., "Neural Network Simulation for Plant Control Optimization," Proceedings of the Industrial Computing Conference, vol. 1, pp. 307-316, Oct. 27-31, 1991.

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