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基于GA-BP神经网络的某型装备作战效能评估方法

郑玉军 张金林 李跃华

空军雷达学院学报Issue(5):346-348,3.
空军雷达学院学报Issue(5):346-348,3.DOI:10.3969/j.issn.1673-8691.2012.05.009

基于GA-BP神经网络的某型装备作战效能评估方法

Operational Effectiveness Evaluation of a Certain Equipment Based on GA-BP Neutral Network

郑玉军 1张金林 2李跃华2

作者信息

  • 1. 空军预警学院研究生管理大队,武汉430019
  • 2. 空军预警学院三系,武汉430019
  • 折叠

摘要

Abstract

  Aimed at the drawback that the BP neural network is likely to fall into the local minimum, in this paper, the weight and threshold of the neural network are optimized by utilizing the powerful global search capability of genetic algorithm, a model of operational effectiveness evaluation for a certain equipment is set up based on GA-BP network, and the evaluation result is given with real data. Experimental results illustrate that the generalization ability and evaluation accuracy of GA-BP neural network are even better than those of BP neural network, thus, paving a new way for assessing the operational effectiveness of a certain type of equipment.

关键词

BP神经网络/遗传算法/装备作战效能/效能评估

Key words

BP neural network/genetic algorithm (GA)/equipment operational effectiveness/effectiveness evaluation

分类

军事科技

引用本文复制引用

郑玉军,张金林,李跃华..基于GA-BP神经网络的某型装备作战效能评估方法[J].空军雷达学院学报,2012,(5):346-348,3.

空军雷达学院学报

2097-180X

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