计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2015年
5期
267-271
,共5页
张坡%郝敬彬%王焕%彭淑彦
張坡%郝敬彬%王煥%彭淑彥
장파%학경빈%왕환%팽숙언
信息融合%遗传算法%特征降维%模糊神经网络%车辆监控
信息融閤%遺傳算法%特徵降維%模糊神經網絡%車輛鑑控
신식융합%유전산법%특정강유%모호신경망락%차량감공
information fusion%genetic algorithm%feature dimension reduction%fuzzy neural network%vehicle-mounted monitoring
研究使用GA-FNN算法实时提取车辆监控中运行异常的问题。利用遗传算法对全局信息的搜索特性，筛选出有效的传感器信息作为模糊神经网络的输入，通过模糊神经网络训练出模糊矩阵，实时检测车辆运行的异常程度。仿真结果显示GA-FNN算法在车辆实时监控系统中，可以快速的检测出车辆的异常程度。
研究使用GA-FNN算法實時提取車輛鑑控中運行異常的問題。利用遺傳算法對全跼信息的搜索特性，篩選齣有效的傳感器信息作為模糊神經網絡的輸入，通過模糊神經網絡訓練齣模糊矩陣，實時檢測車輛運行的異常程度。倣真結果顯示GA-FNN算法在車輛實時鑑控繫統中，可以快速的檢測齣車輛的異常程度。
연구사용GA-FNN산법실시제취차량감공중운행이상적문제。이용유전산법대전국신식적수색특성，사선출유효적전감기신식작위모호신경망락적수입，통과모호신경망락훈련출모호구진，실시검측차량운행적이상정도。방진결과현시GA-FNN산법재차량실시감공계통중，가이쾌속적검측출차량적이상정도。
This paper utilizes the GA-FNN algorithms to extract the unusual problems in real-time vehicle monitoring. GA algorithm has the features of searching the global information, thus in this way a new approach is given to select the effective sensor information, and use it as the input of fuzzy neural network. The fuzzy matrix trained by fuzzy neural network can detect the degree of abnormal through real-time operation of the vehicle. The simulation examples demonstrate the validity of the application of the GA-FNN, the abnormal degree can be detected quickly.
