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基于人工神经网络的轮胎侧偏特性模型
引用本文:崔胜民,王斐. 基于人工神经网络的轮胎侧偏特性模型[J]. 轮胎工业, 2000, 20(1): 11-14
作者姓名:崔胜民  王斐
作者单位:哈尔滨工业大学汽车工程学院!山东威海264209
基金项目:山东省自然科学基金!资助项目(Q95F0243)
摘    要:采用多层前馈神经网络系统建立轮胎侧偏特性模型,用L-M算法作为学习算法,利用人工神经网络反映轮胎输入和输出特性之间的非线性映射关系,试验结果表明,人工网络可以产生出具有很同的准确性和计算效率的轮胎侧偏特性模型。

关 键 词:轮胎 侧偏特性 神经网络 模型

Tire cornering characteristics model based on artificial neural network
CUI Sheng-min and WANG Fei. Tire cornering characteristics model based on artificial neural network[J]. Tire Industry, 2000, 20(1): 11-14
Authors:CUI Sheng-min and WANG Fei
Abstract:A tire cornering characteristics model has been made based on feed forward multi layer neural network using the L/M calculation as the learning calculation and using the artificial neural network to reflect the non linear relationship between tire input and output characteristics.The test results show that a high accurate and efficient calculating result can be obtained by the tire cornering characteristics model based on the artificial neural network.
Keywords:tire  cornering characteristics  neural network  model  
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