Abstract
Multilayer perceptions 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[1][2]. The structure of the proposed neural controller is described and performance results are shown. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Lee, Y. W., & Kang, H. J. (2005). A study on the correction of gun fire error using neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 339–345). Springer Verlag. https://doi.org/10.1007/11553939_49
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