Abstract
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 [1], [2]. The structure of the proposed neural controller is described and performance results are shown.
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Corn, R.J.: An analysis of closed loop control of gun systems. System Evaluation Group, Center of Naval Analysis (November 1971)
Narendra, K.S., Parthasarathy, K.: Identification and control of dynamical systems using neural networks. IEEE Trans. on Neural Networks, 4–21 (1990)
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© 2005 Springer-Verlag Berlin Heidelberg
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Lee, Y.W., Kang, H.J. (2005). A Study on the Correction of Gun Fire Error Using Neural Network. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_49
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DOI: https://doi.org/10.1007/11553939_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28896-1
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