江西科学
江西科學
강서과학
JIANGXI SCIENCE
2012年
4期
538-543
,共6页
粗糙集理论%支持向量回归机%风险评价%城市深基坑
粗糙集理論%支持嚮量迴歸機%風險評價%城市深基坑
조조집이론%지지향량회귀궤%풍험평개%성시심기갱
Rough sets%Support vector regression machine%Risk assessment%Deep foundation pit in city
利用粗糙集和支持向量回归机的理论和方法,建立基于粗糙集和支持向量回归机相结合的风险评价模型。结合深基坑工程风险评价的实例,将约简后的评价指标输入到支持向量回归机中训练,构建评价模型,而在模型的构建中采用了高斯径向基核函数。最后将指标约简前后所得的评价结果分别与基于粗糙集和神经网络的评价所得的结果进行比较,采用粗糙集和支持向量回归机的评价法具有更好的评价效率。
利用粗糙集和支持嚮量迴歸機的理論和方法,建立基于粗糙集和支持嚮量迴歸機相結閤的風險評價模型。結閤深基坑工程風險評價的實例,將約簡後的評價指標輸入到支持嚮量迴歸機中訓練,構建評價模型,而在模型的構建中採用瞭高斯徑嚮基覈函數。最後將指標約簡前後所得的評價結果分彆與基于粗糙集和神經網絡的評價所得的結果進行比較,採用粗糙集和支持嚮量迴歸機的評價法具有更好的評價效率。
이용조조집화지지향량회귀궤적이론화방법,건립기우조조집화지지향량회귀궤상결합적풍험평개모형。결합심기갱공정풍험평개적실례,장약간후적평개지표수입도지지향량회귀궤중훈련,구건평개모형,이재모형적구건중채용료고사경향기핵함수。최후장지표약간전후소득적평개결과분별여기우조조집화신경망락적평개소득적결과진행비교,채용조조집화지지향량회귀궤적평개법구유경호적평개효솔。
In this paper,we use the theory and methods of Rough Sets and Support Vector Regression machine to set up a risk assessment model based on rough sets and Support Vector Regression machine（SVR）.According to the risk evaluation example of the deep foundation pit,the reduction index is trained in the SVR.We use Gaussian RBF kernel function to construct an evaluation model.Then,we compare the evaluation result before reduction index with the evaluation results based on rough sets,and compare the evaluation result after reduction index with the evaluation results based on neural network in the model which we created in this paper.In the end,we get a conclusion that the efficiency of the evaluation method based on the support vector regression machine is better than the method of neural network.
