| 基于遗传算法的多面函数GPS高程拟合模型 |
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| 引用本文： | 徐南,严朝霞,马符讯. 基于遗传算法的多面函数GPS高程拟合模型[J]. 工程勘察, 2013, 0(11): 50-52 |
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| 作者姓名： | 徐南 严朝霞 马符讯 |
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| 作者单位： | 河海大学地球科学与工程学院,南京210098 |
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| 基金项目： | 大学生创新训练计划“混沌时间序列在滑坡变形预测中的应用”（201205XCX175） |
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| 摘 要： | 针对多面函数法用于曲面拟合时存在光滑因子难以选取的问题,将核函数加权系数和光滑因子共同作为种群的一个染色体,采用遗传算法搜索最优染色体。对一组实测高程数据进行计算,计算结果表明,遗传算法可用于核函数中光滑因子的合理选取,将优化后的多面函数方法应用于高程拟合,具有较高的精度,故可应用于GPS高程拟合问题。
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| 关 键 词： | GPS高程 多面函数 遗传算法 优化 拟合 |
Multi-surface function model of GPS height fitting based on genetic algorithm |
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| Xu Nan,Yan Zhaoxia,Ma Fuxun. Multi-surface function model of GPS height fitting based on genetic algorithm[J]. Geotechnical Investigation & Surveying, 2013, 0(11): 50-52 |
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| Authors: | Xu Nan Yan Zhaoxia Ma Fuxun |
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| Affiliation: | ( Hohai University School of Earth Sciences and Engineering, Nanjing 210098, China) |
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| Abstract: | In view of polyhedral function method for surface fitting, the smooth factor is difficult to select. The kernel function for weights and the smooth factor are taken as the populations of a chromosome, genetic algorithm is then used to search the optimal chromosome. Through a group of practical elevation data fitting, the results show that the genetic algorithm can he used for the kernel function smoothing factor selection. The optimized multi-surface function method has high precision and can be applied to GPS elevation fitting. |
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| Keywords: | GPS elevation multi-surface function genetic algorithm optimization fitting |
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