| 一种基于模糊机理模型的混事建模方法 |
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| 引用本文： | 王庆超,岑小锋.一种基于模糊机理模型的混事建模方法[J].宇航学报,2001,22(6):45-49. |
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| 作者姓名： | 王庆超 岑小锋 |
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| 作者单位： | 哈尔滨工业大学航天学院, |
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| 基金项目： | 国家自然科学基金资助项目(资助号:69974012) |
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| 摘 要： | 本文提出了一种基于模糊机理模型的混合建模方法。采用模糊逻辑系统建立机理模型，RBF神经网络建立系统的补偿模型。这种方法具有建模精度高、物理意义明确以及适应范围大的特点。仿真结果进一步证实了这种方法的有效性。
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| 关 键 词： | 神经网络 模糊逻辑系统 建模方法 混合建模 补偿模型 |
| 文章编号： | 1000-1328(2001)06-0045-05 |
| 修稿时间： | 2001年6月7日 |
A HYBRID MODELING METHOD BASED ON FUZZY PRINCIPLE MODEL |
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| Wang Qingchao,Cen Xiaofeng.A HYBRID MODELING METHOD BASED ON FUZZY PRINCIPLE MODEL[J].Journal of Astronautics,2001,22(6):45-49. |
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| Authors: | Wang Qingchao Cen Xiaofeng |
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| Abstract: | In this paper,a novel modeling method based on a fuzzy principle is proposed.A fuzzy logic system is used to construct this principle model,and RBF neural networks are employed to obtain compensatory models.Based on these two models,the method has the characteristics of high precision in modeling,apparent physical meaning and largely scope of application.The simulation results verify its validity. |
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| Keywords: | Neural networks Fuzzy logic system Modeling |
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