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《Journal of Jilin University(Earth Science Edition)》 2008-01
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Evaluation of Tunnel Rock Quality with Routh Sets Theory and Artificial Neural Networks

QIU Dao-hong,CHEN Jian-ping,QUE Jin-sheng,AN Peng-chengCollege of Construction Engineering,Jilin University,Changchun 130026,China  
To evaluate the tunnel rock quality,six parameters reflecting the general properties of rock engineering was selected to build the decision table,which was evaluated by extenics theory and expert examination,and rough sets theory was applied to reduce the original decision table and to analyze the relative importance of every parameter.Finally,the reduction results are transformed into rules,which are used as input of the BP neural networks.Combining rough sets theory with artificial neural networks,then the evaluation model of tunnel rock quality was established.Through the case study,the model can efficiently simplifies the networks structure,reduces the networks training period and has better study efficiency and can more precisely reflect the engineering characteristics of tunnel rock.
【Fund】: 国家自然科学基金项目(40272117);; 教育部优秀年轻教师基金项目(120413133);; 吉林大学985计划项目(105213200500007)
【CateGory Index】: TU457
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