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基于神经网络的电子节气门开启角度的模拟研究
引用本文:李建兵,李新华.基于神经网络的电子节气门开启角度的模拟研究[J].湖南农机,2008(3):47-48,33.
作者姓名:李建兵  李新华
作者单位:中南林业科技大学机电工程学院,湖南长沙410004
摘    要:本文将神经网络方法应用于电子节气门开启角度的模拟研究。实验研究结果表明,神经网络检测样本的平均误差为0.656°,说明神经网络模型能定量地描叙转速、扭矩、输出功率以及燃油流量与节气门开启角度之间的关系。

关 键 词:BP神经网络  电子节气门  模拟

Simulation Research On Turn-on Angle of the Electronic Throttle Based on BP Neural Networks
LI Jian bing;LI Xin hua.Simulation Research On Turn-on Angle of the Electronic Throttle Based on BP Neural Networks[J].Hunnan Agricultural Machinery,2008(3):47-48,33.
Authors:LI Jian bing;LI Xin hua
Institution:LI Jian bing;LI Xin hua (Central South University of Forestry and Technology, Changsha 410004,China)
Abstract:Using the neural network method, the turn-on angle of electronic throttle has been simulated. The experimental investigation results show that neural network model may be used to analyze the relationship between the rotary speed, torque, output power, fuel flow and the turn-on angle of the electronic throttle quantitatively for testing of the model was performed with successfully good average error levels of 0.656°.
Keywords:BP Neural network  Electronic throttle  Simulation
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