Study on the Effectiveness Evaluation of the Weapon Equipment Based on Artificial Neural Network

Feng Gao; Fei Song; Guo Qing Huang; Mao Yang

doi:10.4028/www.scientific.net/AMR.926-930.3262

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Study on the Effectiveness Evaluation of the...

Study on the Effectiveness Evaluation of the Weapon Equipment Based on Artificial Neural Network

Abstract:

A new approach to weapons and equipment effectiveness evaluation based on artificial neural network (ANN) performs better than traditional method, which is in view of the complex relationship between the effectiveness and many factors that influence the evaluation. The structure and learning algorithm of BP neural network is evaluated the fighters’ air-to-air combat capability. The evaluation is accomplished by a two-layer BP neural network and MATLAB toolbox. The simulation results show that the artificial neural network have better generalization ability and approximation performance for continuous function, which is valuable in weapons and equipment effectiveness evaluation application.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3262-3265

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3262

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Online since:

May 2014

Authors:

Feng Gao*, Fei Song, Guo Qing Huang, Mao Yang

Keywords:

BP, Effectiveness Evaluation, Equipment, Neural Network (NN), Weapons

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* - Corresponding Author

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