基于ANFIS模型的充填体抗压强度预测研究 |
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引用本文: | 王金海,杨 鹏,郭良银,吕文生,王 昆.基于ANFIS模型的充填体抗压强度预测研究[J].有色金属(矿山部分),2014,66(5):27-29. |
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作者姓名: | 王金海 杨 鹏 郭良银 吕文生 王 昆 |
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作者单位: | 北京科技大学土木与环境工程学院;北京联合大学北京市信息服务工程重点实验室;山东黄金矿业股份有限公司新城金矿; |
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基金项目: | “十二五”国家科技支撑计划项目(2012BAB08B01) |
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摘 要: | 以新城金矿充填尾砂为试验料浆,采用正交设计法设计试验方案,研究灰砂比、质量浓度、养护龄期对充填体抗压强度的影响规律。运用极差和方差分析结果,并采用ANFIS建立预测充填体抗压强度的模型。结果表明,灰砂比是影响充填体抗压强度的最重要的因素;ANFIS模型具有95.8%的预测精度,它是预测充填体抗压强度的一种有效方法。
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关 键 词: | 充填体 正交设计法 抗压强度 ANFIS模型 预测 |
收稿时间: | 2014/4/2 0:00:00 |
修稿时间: | 2014/4/10 0:00:00 |
Study on predicting the compressive strength of filling body based on ANFIS model |
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Authors: | WangJinHai GUO Liangyin LV Wensheng and WANG Kun |
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Affiliation: | University of Science,,,, |
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Abstract: | Taking the filling tailings of Xincheng gold mine as the experimental slurry, the orthogonal design method was adopted to design the experimental scheme to study the influencing rules of cement-sand ratio, mass concentration and curing period to the compressive strength. Analysis of range and variance analysis were employed to test the results and using the adaptive neuro-fuzzy inference system to establish a prediction model of compressive strength. The results showed that the cement-sand ratio has the greast influence on compressive strength of filling body and those factors have the similar influence; the prediction accuracy of the ANFIS model is as high as 95.8 percent and the model provides an effective method for predicting the compressive strength of filling body. |
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Keywords: | filling body orthogonal design method compressive strength ANFIS model prediction |
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