Intelligent decision-making for tactics mission and train base on tandem fuzzy-neural network

XianJun Ge; WeiWei Song; Jing Tang

doi:10.1117/12.906275

28 October 2011 Intelligent decision-making for tactics mission and train base on tandem fuzzy-neural network

XianJun Ge, WeiWei Song, Jing Tang

Proceedings Volume 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization; 82051P (2011) https://doi.org/10.1117/12.906275
Event: 2011 International Conference on Photonics, 3D-imaging, and Visualization, 2011, Guangzhou, China

Abstract

For Navy aviation Force, Mission-making and Train is very important. Mission-making is a process of choosing among alternative courses of action for solving complicated problems where multi-criteria objectives are involved. We have witnessed a growing recognition of computing technologies that underlie the conception, design and utilization of intelligent systems in the past few years. Several works have been done where we have applied intelligent techniques and heuristics to obtain optimal decisions from imprecise information. In this paper, we present a tandem fuzzy-neural network approach and Reduced Memory Levenberg-Marquardt training approach combining unsupervised and supervised learning techniques to develop the Tactical Mission and Train Decision System (TMTDS). Experiment results clearly demonstrate the efficiency of the proposed technique.

Citation Download Citation

XianJun Ge, WeiWei Song, and Jing Tang "Intelligent decision-making for tactics mission and train base on tandem fuzzy-neural network", Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82051P (28 October 2011); https://doi.org/10.1117/12.906275

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