| 递进式预测模型在滑坡变形预测中的应用 |
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| 引用本文： | 谌伟.递进式预测模型在滑坡变形预测中的应用[J].测绘工程,2016,25(11):38-42. |
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| 作者姓名： | 谌伟 |
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| 作者单位： | 陕西铁路工程职业技术学院，陕西 渭南，714000 |
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| 摘 要： | 为达到提高滑坡变形预测精度的目的,利用量子算法和粒子群算法对支持向量机进行优化,并利用马尔科夫链对滑坡变形预测误差进行修正,综合构建滑坡变形的递进式预测模型。结果表明:通过量子算法及粒子群算法对支持向量机优化,克服支持向量机参数选取困难,实现预测过程的全局优化,并经过MC误差修正模型对滑坡变形预测值误差修正,提高预测精度及预测值稳定性,验证预测模型可行性和有效性,为滑坡变形预测提供一种新的预测方法。
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| 关 键 词： | 滑坡 支持向量机 粒子群算法 误差修正 |
Research on the application of progressive prediction model to landslide deformation prediction |
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| Abstract: | In order to improve the landslide deformation prediction accuracy ,this paper uses the quantum algorithm and particle swarm optimization algorithm to optimize the support vector machine , and the Markoff chain to correct the error of landslide deformation , and constructs the progressive prediction model of landslide deformation . The results show that :the quantum algorithm and the particle swarm algorithm of support vector machine can be optimized to overcome the difficulties in selecting the parameters of support vector machine and to realize the prediction process of global optimization .After MC error correction model is used to predict of landslide deformation value of the error correction ,it can improve the prediction accuracy and predictive value of stability ,verify the feasibility and effectiveness of the prediction model , and provide a new prediction method for the prediction of the deformation of landslide . |
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| Keywords: | landslide support vector machine particle swarm optimization error correction |
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