基于神经网络的车辆制动预测研究[摘要]本文对汽车制动过程中，影响汽车制动距离的主要因素：路面附着系数和初始速度等进行分析，提出了用神经网络的方法对汽车制动距离进行预测分析并阐述了对汽车制动距离预测的必要性和可行性。我们以干沥青与混凝土路面状况下汽车制动距离的实验数据为基础，建立基于BP神经网络的预测模型，并利用MATLAB进行数据拟合检验，结果表明我们的方法能有效地预测汽车的制动距离，并且在数据较为充分的情况下有较高的精度。[关键词]BP神经网络制动距离预测模型MATLAB软件Vehiclebrakingpredictionresearchbasedonneuralnetwork[Abstract]Inthispaper,fortheautomotivebrakingprocess,weanalyzethemainfactorthataffectthecar'sbrakingdistance:roadadhesioncoefficientandinitialvelocity,putforwardtouseneuralnetworktopredicttheautomobilebrakingdistance,discussesthenecessityandfeasibilityofthevehiclebrakingdistanceprediction.Weusedryasphaltandconcretepavementundertheexperimentaldataonthebasisofvehiclebrakingdistance,buildpredictivemodelsbasedonBPneuralnetwork,anduseMATLABtodatatesting,Theresultsshowthatourmethodcaneffectivelypredictthecar'sbrakingdistanceandinthecaseofmoreadequatedatahashigheraccuracy.[Keywords]ArtificialneuralnetworkBPneuralnetworkBrakingdistancePredictionmodel目录1.引言1.1选题的目的和意义..........................................................................11.2研究状况和研究内容...................................................................11.2.1国内研究状况.................................................................................11.2.2国外研究状况.................................................................................22.基于神经网络的制动距离预测分析.........................32.1汽车制动过程分析..........................................................................32.2制动距离的定义及影响因素分析................................32.2.1制动距离...............................................................................................32.2.2制动距离的影响因素分析..............................................42.3神经网络预测理论..........................................................................72.3.1神经网络的概念及发展.....................................................72.3.2神经网络在预测方面的发展.......................................82.3.3神经网络研究的不足........................................................112.4制动距离预测必要性和可行性分析.....................112.4.1制动预测距离的必要性分析...................................112.4.2制动预测距离的可行性分析...................................113.基于神经网络的制动距离预测模型的建立....123.1汽车制动距离预测模型建立思路............................123.2预测模型建立方法及步骤.................................................123.3制动距离预测模型的建立.................................................123.3.1数据来源...........................................................................................123.3.2网络结构设计.............................................................................123.4预测模型仿真检验及结果分析...................................15结论.......................................................................................................................16致谢语................................................................................................................17参考文献..........................................................................................
