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三峡永久船闸高边坡变形预测人工神经网络分析
Rock Slope Deform ation Prediction by Artificial Neural Netw ork Method in Three Gorges Project
【摘要】 提出并建立了三峡工程永久船闸高边坡变形预测的人工神经网络分析方法,基于永久船闸高边坡岩体变形监测资料,动态构筑了高边坡变形预测知识库,提出了船闸高边坡岩体变形预测分析模型,并得到了永久船闸岩体高边坡变形量、变形收敛速度与收敛时间等结果。
【Abstract】 The m ethod for predicting rock slope deform ation in the Three Gorge perm anent shiplockengineering by m eas of the artificial neural netw ork theory is presented. The dynam ic know ledge base forpredicting rock slope deform ation in the Three Gorge perm anent shiplock engineering is developed on thebasis of the m onitoring inform ation system . The forecasting m odel for deform ation is described. The valuesof deform ation and the convergence velocity and tim e for the creep deform ation of perm anent shiplock rockslope is obtained.
【关键词】 高边坡;
变形;
人工神经网络;
预测;
三峡工程;
【Key words】 high rock slope; deform ation; artificialneuralnetw ork; forecasting; Three Gorges Project;
【Key words】 high rock slope; deform ation; artificialneuralnetw ork; forecasting; Three Gorges Project;
【基金】 国家自然科学基金委员会资助,中国长江三峡工程开发总公司资助,国家自然科学基金,国家电力公司重大科技项目
- 【文献出处】 岩土力学 ,ROCK AND SOIL MECHANICS , 编辑部邮箱 ,1999年02期
- 【分类号】TU457
- 【被引频次】90
- 【下载频次】450