火力与指挥控制
火力與指揮控製
화력여지휘공제
FIRE CONTROL & COMMAND CONTROL
2014年
7期
63-67,72
,共6页
拦截效果评估%特征级融合%模糊神经网络%BP算法%重心反模糊
攔截效果評估%特徵級融閤%模糊神經網絡%BP算法%重心反模糊
란절효과평고%특정급융합%모호신경망락%BP산법%중심반모호
intercepting effect evaluation%feature-level fusion%fuzzy neural network%BP algorithm%center of gravity defuzzification
基于多传感器特征级融合研究了TBM拦截效果评估的问题。首先分析并选取了拦截效果特征信息，构建了基于模糊神经网络的拦截效果融合评估模型；之后从模糊化、模糊推理、反模糊3个方面论述了评估模型的实施过程，进行模糊推理时采用一种改进的BP算法完成了推理规则的实现。最后通过实例仿真验证了改进BP算法的有效性，并验证了评估模型的可靠性及良好的融合性能。
基于多傳感器特徵級融閤研究瞭TBM攔截效果評估的問題。首先分析併選取瞭攔截效果特徵信息，構建瞭基于模糊神經網絡的攔截效果融閤評估模型；之後從模糊化、模糊推理、反模糊3箇方麵論述瞭評估模型的實施過程，進行模糊推理時採用一種改進的BP算法完成瞭推理規則的實現。最後通過實例倣真驗證瞭改進BP算法的有效性，併驗證瞭評估模型的可靠性及良好的融閤性能。
기우다전감기특정급융합연구료TBM란절효과평고적문제。수선분석병선취료란절효과특정신식，구건료기우모호신경망락적란절효과융합평고모형；지후종모호화、모호추리、반모호3개방면논술료평고모형적실시과정，진행모호추리시채용일충개진적BP산법완성료추리규칙적실현。최후통과실례방진험증료개진BP산법적유효성，병험증료평고모형적가고성급량호적융합성능。
The problem of intercepting effect evaluation of TBM based on multisensor feature-level fusion was studied. Firstly,the feature of intercepting effect evaluation is analyzed and selected, and a intercepting effect evaluation model based on fuzzy neural network is built. Then evaluating process is discussed in three aspects,fuzzification,fuzzy inference and defuzzification,and a improved BP algorithm is applied in fuzzy inference. Finally,the improved algorithm is verified with availability and the model is proved reliability and fusion performances by simulation.
