| 利用遗传编程的符号表达式逼近任意非线性函数 |
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| 引用本文： | 陈月辉,董吉文,史奎凡. 利用遗传编程的符号表达式逼近任意非线性函数[J]. 济南大学学报(自然科学版), 1998, 0(2) |
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| 作者姓名： | 陈月辉 董吉文 史奎凡 |
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| 作者单位： | 山东建材工业学院信息与控制工程系 |
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| 摘 要： | 在非线性系统的输入输出关系未知的情况下，以其输入输出数据作为训练样本，利用遗传编程算法，随机优化出一个能够完全拟合这批数据的符号表达式，该符号表达式完全反映了非线性系统的内部规律性。模拟实验表明，该算法精度高、可推广性强。此外，该算法可用于非线性系统的建模、预测和控制。
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| 关 键 词： | 遗传编程；优化；符号表达式；非线性函数逼近；置信度估计 |
Approximation of Arbitrary Nonlinear Function Using Symbol Express of Genetic Programming |
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| Chen Yuehui,Dong Jiwen,Shi Kuifan. Approximation of Arbitrary Nonlinear Function Using Symbol Express of Genetic Programming[J]. Journal of Jinan University(Science & Technology), 1998, 0(2) |
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| Authors: | Chen Yuehui Dong Jiwen Shi Kuifan |
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| Abstract: | When the input output relation of a nonlinear system is unknown,we view the input output data as training sample and randomly optimize a symbol express using genetic programming.The optimized symbol express can completely reflect the law of nonlinear system.The simulation and inferential statistic show that the proposed method has high precision.In addition,this method can be applied to modeling,forecasting and controlling of nonlinear system. |
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| Keywords: | genetic programming optimization symbol express nonlinear function approximation inferential statistics |
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