遗传算法最小二乘支持向量机在GPS高程异常反演中的应用
首发时间:2011-08-25
摘要:针对传统GPS高程异常反演方法中存在的不足,本文采用遗传算法优化最小二乘支持向量机参数反演GPS高程异常。实验表明,在有限样本的情况下,GA-LSSVM模型不仅发挥了LSSVM处理小样本数据的能力,而且通过GA优化后的LSSVM能够选择出合适的参数,反演得到高精度的GPS高程异常。通过对测试样本的反演精度进行评定,得到GA-LSSVM反演GPS高程异常可以推广到实际应用中。
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The application of GA-LSSVM in the GPS elevaton anomaly calculation
Abstract:Against the shortcoming of the traditional GPS elevation anomaly calculation methods, this paper uses the GA-LSSVM to calculate the GPS elevation anomaly. The experiment shows that GA can select the suitable parameters of the LSSVM. In the case of limited sample, the GA-LSSVM model can overcome the disadvantage of the small sample, and gets the accurate results. By evaluating the accuracy of the results, the GA-LSSVM can be extended to practical applications.
Keywords: GA LSSVM GPS elevation anomaly
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