| 基于神经网络的车用汽油机排放模型的研究 |
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| 引用本文： | 陈子健,孙国斌. 基于神经网络的车用汽油机排放模型的研究[J]. 机床与液压, 2004, 0(4): 76-78,137 |
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| 作者姓名： | 陈子健 孙国斌 |
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| 作者单位： | 华南理工大学交通学院,广州,510641;华南理工大学交通学院,广州,510641 |
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| 摘 要： | 利用神经网络具有非线性映射、学习记忆能力的特点，选用径向基数神经网络(RBF)，根据车用汽油机负荷特性试验的排放数据建立基于Matlab的广义回归神经网络模型，从而了解车用汽油机在不同转速和负荷下的CO、HC和NOx的排放特性，实现预测车用汽油机排放的目的。
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| 关 键 词： | 神经网络 汽油机 排放 模型 |
| 文章编号： | 1001-3881(2004)4-076-3 |
Study on Model of Automobile Gasoline Engine Exhaust Emissions Based on Neural Network |
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| CHEN Zi-jian,SUN Guo-bin. Study on Model of Automobile Gasoline Engine Exhaust Emissions Based on Neural Network[J]. Machine Tool & Hydraulics, 2004, 0(4): 76-78,137 |
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| Authors: | CHEN Zi-jian SUN Guo-bin |
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| Abstract: | The neural network has the nonlinear mapping performance and the ability of learning and remembrance. According to the radial basis function neural network(RBF) and the exhaust emissions data of the gasoline engine load-performance test, the general regression neural network(GRNN) model based on Matlab was developed. This model can be used for understanding and forecasting the exhaust emission performance of automobile gasoline engine under different engine's crankshaft rotate speed and load. |
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| Keywords: | Neural network Gasoline engine Exhaust emission Model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
