| 基于RBF网络的柴油机运行工况分析 |
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| 引用本文： | 房晓栋,孙先仿.基于RBF网络的柴油机运行工况分析[J].微计算机信息,2005,21(1):81-82. |
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| 作者姓名： | 房晓栋 孙先仿 |
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| 作者单位： | 100083,北京航空航天大学 |
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| 基金项目： | 北京市自然科学基金项目 |
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| 摘 要： | 本文介绍了神经网络中运用广泛的RBF神经网络的模型及其学习算法．将其引入到柴油机运行工况分析领域，在MATLAB环境下，建立了柴油机喷油特性的RBF神经网络模型，并用以模拟柴油机的喷油特性，模拟结果得到了实验验证。
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| 关 键 词： | RBF神经网络 柴油机 喷油特性 |
| 文章编号： | 1008-0570(2005)01-0081-02 |
| 修稿时间： | 2004年8月15日 |
The Analysis of the Operating Conditions of the Diesel Engine Based on RBF Neural Network |
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| Fang,Xiaodong Sun,Xianfang.The Analysis of the Operating Conditions of the Diesel Engine Based on RBF Neural Network[J].Control & Automation,2005,21(1):81-82. |
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| Authors: | Fang Xiaodong Sun Xianfang |
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| Abstract: | In this paper, the model of RBF (Radio basis function) network, witch is widely applied, and their learning algorithms are introduced. Then the approaches are applied to analyze the operating conditions of the Diesel Engine, and in MATLAB environment, set up a RBF neural network of the injection characteristics. The model is used to simulate the injection characteristics of the Diesel Engine, and the result is found to be in agreement with the experiment data. |
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| Keywords: | RBF Neural Networks Diesel Engine Injection Characteristics |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
