Abstract:
A multilayered neural network processor is used to control a given plant. Several learning architectures are proposed for training the neural controller to provide the ap...Show MoreMetadata
Abstract:
A multilayered neural network processor is used to control a given plant. Several learning architectures are proposed for training the neural controller to provide the appropriate inputs to the plant so that a desired response is obtained. A modified error-back propagation algorithm, based on propagation of the output error through the plant, is introduced. The properties of the proposed architectures are studied through a simulation example.<>
Published in: IEEE Control Systems Magazine ( Volume: 8, Issue: 2, April 1988)
DOI: 10.1109/37.1868
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