| 神经网络技术在效率系数模型辩识中的应用 |
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| 引用本文： | 武俊峰,朱若楠. 神经网络技术在效率系数模型辩识中的应用[J]. 系统工程理论与实践, 1999, 19(2): 77-81. DOI: 10.12011/1000-6788(1999)2-77 |
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| 作者姓名： | 武俊峰 朱若楠 |
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| 作者单位： | 哈尔滨理工大学 |
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| 摘 要： | 基于神经网络原理，介绍了汽车发动机效率因数模型的一种辨识方法．该因数依赖于发动机轴角速度和收集器的压力．用于辨识的测量数据被分成两组，一组用于模型辨识，另一组通过该模型的预测能力来证明其有效性．通过这两个模型的比较，可以得出结论，神经元网络方法用于效率因数模型辨识是可行的，且结果是好的．
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| 关 键 词： | 神经网络 效率因数模型 辨识 |
Application of Neural Networks to Identification for Efficiency Factor Model of Automobile |
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| Wu Junfeng,Zhu Ruonan. Application of Neural Networks to Identification for Efficiency Factor Model of Automobile[J]. Systems Engineering —Theory & Practice, 1999, 19(2): 77-81. DOI: 10.12011/1000-6788(1999)2-77 |
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| Authors: | Wu Junfeng Zhu Ruonan |
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| Affiliation: | Harbin University of Science and Technology |
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| Abstract: | Based on the neural networks principles, a method for identification of efficiency factor model of automobile motor is introduced. This factor relies on motor axis velocity and on the pressure in collector. Two groups of measured data are got, one is used for identification, another for testing the validation of the model through its predictive capacity. By comparison,it is concluded that the application of neural network technology in identification for efficiency factor model is possible, and the result is good. |
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| Keywords: | neural network efficiency factor model identification |
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