A Study on the Correction of Gun Fire Error Using Neural Network

摘要

Multilayer perceptrons trained with the backpropagation algorithm are derived for gun fire control system for miss distance correction and are compared to optimum linear filter based on minimum mean square error. The structure of the proposed neural controller is described and performance results are shown.