Study on Combat Effectiveness Prediction Model Using Elman Feedback Network

Authors

Xiaoxi Li, 1. Department of Graduate Management, Equipment Academy, Beijing 101416, China;;
Haoguang Chen, 2. Department of Equipment Acquisition, Equipment Academy, Beijing 101416, China;;
Daxi Li, 3. Air and Missile Defense Institute, Air Force Engineering University, Xi’an 710038, China;;
Jiangping Chen, 4. Unit 93942 of PLA, Xianyang 712000, China;

Abstract

Abstract: To deal with combat effectiveness prediction of the military system, a SVR-based crucial evaluation indexes mining method was carefully investigated. The key indexes in the effectiveness evaluation were found by comparing partial derivatives. The model of efficiency prediction based on Elman neural networks, which used effective optimized indexs and values as input and output, was exerted to combat effectiveness prediction of C⁴ISR. The results show that the method can reduce the complexity of prediction model, and avoid uncertain factors existing in system, which provide effective technical support for the combat effectiveness prediction scientifically.

Recommended Citation

Li, Xiaoxi; Chen, Haoguang; Li, Daxi; and Chen, Jiangping (2020) "Study on Combat Effectiveness Prediction Model Using Elman Feedback Network," Journal of System Simulation: Vol. 27: Iss. 1, Article 5.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss1/5

First Page

43

Revised Date

2014-03-23

DOI Link

https://doi.org/

Last Page

49

CLC

TP391.9

Recommended Citation

Li Xiaoxi, Chen Haoguang, Li Daxi, Chen Jiangping. Study on Combat Effectiveness Prediction Model Using Elman Feedback Network[J]. Journal of System Simulation, 2015, 27(1): 43-49.