加权距离判别分析法在岩体质量等级分类中的应用

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Abstract Distance discriminant analysis method is one of classification methods according to multi-index performance parameters；and it has been applied to classification of engineering rock mass quality. However，the traditional Mahalanobis distance discriminant method treats with the importance of all parameters equally，and exaggerates the role of parameters which changes a little. The weighted Mahalanobis distance is used in discriminant analysis method to distinguish the importance of each parameter to improve the classification of rock mass quality. In the concrete application，firstly based on the principal component analysis scheme，a new group of parameters and their corresponding percent contributions of the parameters of rock mass quality are calculated；and the weighted matrix is regarded as the diagonal matrix of the contributions rates. Setting data to standardization，then the weighted Mahalanobis distance can be calculated to classify rock mass quality. The new method is used in practical project and compared with the artificial neural network method and Mahalanobis distance discriminant analysis method. The results show that the weighted Mahalanobis distance method has a higher discriminant ability；and prediction results are in better agreement with the fact. It is an exact and effective classification method of rock mass quality.

Key words： rock mechanics classification of rock mass quality Mahalanobis distance discriminant weighted Mahalanobis distance method distance discriminant analysis

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	Articles by authors
	YAO Yinpei1
	2
	LI Xibing1
	2
	GONG Fengqiang1
	2
	PENG Kang1
	2

Cite this article:

YAO Yinpei1,2,LI Xibing1, et al. APPLICATION OF WEIGHTED MAHALANOBIS DISTANCE DISCRIMINANT ANALYSIS METHOD TO CLASSIFICATION OF ROCK MASS QUALITY[J]. , 2010, 29(S2): 4119-4123.

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https://rockmech.whrsm.ac.cn/EN/Y2010/V29/IS2/4119

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