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  

Study on the Efficiency Evaluation and Indexes Optimization of Ambulance Helicopter Based on Neutral Network Optimized by Chaos Genetic Algorithm

作　　者：杜海舰[1] 徐新喜[1] 徐卸古[2] 王运斗[1] 张晓峰[1] 

机构地区：[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

出　　处：《直升机技术》2012年第3期15-21,共7页Helicopter Technique

基　　金：军队基金课题

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。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.

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 

分 类 号：V27[航空宇航科学与技术—飞行器设计]