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Neural solution to the correction of miss distance in gun fire control system
International Journal of Neural Systems
|March 5, 1999
Abstract:
Multilayer perceptrons trained with the backpropagation algorithm are tested in gun fire control system for error correction and are compared to optimal algorithms based on minimum mean square error. The structure of the proposed neural controller is described and performance results are shown.