基于混沌遗传算法优化神经网络方法的救护直升机效能评估与指标优化研究 |
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引用本文: | 杜海舰,徐新喜,徐卸古,王运斗,张晓峰.基于混沌遗传算法优化神经网络方法的救护直升机效能评估与指标优化研究[J].直升机技术,2012(3):15-21. |
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作者姓名: | 杜海舰 徐新喜 徐卸古 王运斗 张晓峰 |
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作者单位: | 1. 军事医学科学院卫生装备研究所,天津,300161 2. 军事医学科学院,北京,100850 |
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摘 要: | 采用遗传算法与神经网络相结合的方法研究救护直升机的效能评估,建立了评估指标与效能评估值的非线性关系,克服了传统线性评估方法的不足,结果表明GA-BP算法能够很好地评估救护直升机效能,并保持了很高的精确度;同时,采用BP-GA算法对救护直升机的指标进行了优化,结果同样表明该方法可以有效地优化救护直升机的指标.
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关 键 词: | 混沌遗传算法 BP神经网络 救护直升机 效能评估 指标 优化 |
Study on the Efficiency Evaluation and Indexes Optimization of Ambulance Helicopter Based on Neutral Network Optimized by Chaos Genetic Algorithm |
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Authors: | DU Haijian XU Xinxi XU Xiegu WANG Yundou ZHANG Xiaofeng |
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Institution: | 1 (1.Institute of Medical Equipment, Academy of Military Medical Sciences, Tianjin 300161, China; 2.Academy of Military Medical Sciences, Beijing 100850, China ) |
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Abstract: | With the application of genetic algorithm(GA) combined with the method of BP neutral network, efficiency evaluation and optimization of indexes of ambulance helicopter(AH) were studied. The results showed that the method of GA-BP can efficiently evaluate the efficiency of AH and also optimize the indexes of AH, which traditional evaluation method can not do that. As a result, the conclusion could provide a constructive idea with the whole scheme demonstration and engineering design. |
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Keywords: | Chaos Genetic Algorithm BP Neutral Network ambulance helicopter efficiency evaluation tactical index optimization |
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