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| 基于人工神经网络的轮胎侧偏特性模型 |
| Tire cornering characteristics model based on artificial neural network |
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| DOI： |
| 中文关键词: 轮胎；侧偏特性；神经网络；模型 |
| 英文关键词: tire；cornering characteristics；neural network；model |
| 基金项目:山东省自然科学基金资助项目(Q95F0243) |
| 中图分类号:TQ336.1；TP393.02 |
| Author Name | Affiliation | | CUI Sheng-min | Automotive Engineering Institute，Haerbin University of Technology | | WANG Fei | Automotive Engineering Institute，Haerbin University of Technology |
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| 中文摘要: |
| 采用多层前馈神经网络系统建立轮胎侧偏特性模型，用L2M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，人工神经网络可以产生出具有很高的准确性和计算效率的轮胎侧偏特性模型。 |
| 英文摘要: |
| 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 non2linear 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. |
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