利用神经网络建立液力减速器模型  

Set up the Model of the Hydraulic Retarder with BP Neural Network

作　　者：安世奇[1] 贺纲[1] 

机构地区：[1]内蒙古科技大学信息工程学院

出　　处：《计算机工程与应用》2004年第33期230-232,共3页Computer Engineering and Applications

摘　　要：根据液力减速器的试验数据,利用BP神经网络建立数学模型,给出了BP神经网络结构和适合计算机编程的神经网络算法。通过对神经网络拟合曲线、多项式拟合曲线及实际试验曲线对比和分析,结果表明,神经网络建立的液力减速器模型精度比较高,用神经网络建立非线性系统的数学模型是一种有效的方法。The paper sets up the model of the hydraulic retarder with BP neural network,based on its testing data.It first puts forward the structure of BP neural network and arithmetic that can be used to program.Then,it compares and analyzes curves that are drawn by neural network fitting method,polynomial fitting method and testing data respectively.The results show that the model of hydraulic retarder set up with BP neural network is more precise and it is effective using the neural network to set up models of non-linear systems.

关 键 词：BP神经网络 液力减速器 曲线拟合 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]