| 汽油机动力性的前馈神经网络模型 |
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| 引用本文： | 吴晓红,蔡惠京.汽油机动力性的前馈神经网络模型[J].系统工程与电子技术,2002,24(4):79-81. |
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| 作者姓名： | 吴晓红 蔡惠京 |
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| 作者单位： | 中山学院,广东,中山,528402 |
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| 基金项目： | 中山市科技计划项目基金资助课题 |
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| 摘 要： | 如何优化汽油机的动力性 ,是研究者致力追求的目标。利用多层前馈神经网络的反向传播算法特性 ,建立了汽油机动力性与点火正时、空燃比、发动机转速、油门开度等之间关系的神经网络模型 ,用以分析、预测、优化汽油机动力性能 ,探讨车用汽油机动力性的科学评价指标
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| 关 键 词： | 前馈神经网络 BP学习算法 汽油机 动力性 |
| 文章编号： | 1001-506X(2002)04-0079-03 |
| 修稿时间： | 2001年1月25日 |
Research on the Model of the Feedforward Neural Network About Power Characteristic of Automotive Gasoline Engines |
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| WU Xiao hong,CAI Hui jing.Research on the Model of the Feedforward Neural Network About Power Characteristic of Automotive Gasoline Engines[J].System Engineering and Electronics,2002,24(4):79-81. |
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| Authors: | WU Xiao hong CAI Hui jing |
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| Abstract: | In this paper, we investigate the problem about the power characteristic of automotive gasoline engines applying multilayer feedforward neural networks. The neural network is trained by a large number of test data. A gasoline engine performance model based on the neural network is developed. The inputs of the neural network model are gasoline RPM, throttle position, air-fuel ratio and ignition timing, the outputs are gasoline power, torque, specific fuel consumption, the emissions of HC,CO and Nox. The function, prediction and reliability of the neural network model are verified with test data. |
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| Keywords: | Feedforward neural network Back propagation algorithm Automotive gasoline engines Power characteristic |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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