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BLASTING: 作品数：197被引量：434H指数：11; 导出分析报告; 相关领域：矿业工程更多>>; 相关作者：魏威黄丹周健史秀志白春华更多>>; 相关机构：中南大学多伦多大学北京理工大学住房和城乡建设部更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家重点基础研究发展计划国家科技支撑计划更多>>

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期刊=Smart Construction Research

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Rock Fragmentation Prediction through a New Hybrid Model Based on Imperial Competitive Algorithm and Neural Network被引量：1: 《Smart Construction Research》2018年第3期14-25,共12页Bhatawdekar Ramesh Murlidhar Danial Jahed Armaghani Edy Tonnizam Mohamad Saksarid Changthan; Reliable estimation of rock fragmentation is an important issue in the blasting operations in order to predict quality of the production.Since rock fragmentation is affected by various parameters such as blast pattern...; 关键词：BLASTING ROCK FRAGMENTATION ICA ANN hybrid model

Rock Fragmentation Prediction through a New Hybrid Model Based on Imperial Competitive Algorithm and Neural Network: 《Smart Construction Research》2018年第1期38-49,共12页Bhatawdekar Ramesh Murlidhar Danial Jahed Armaghani Edy Tonnizam Mohamad Saksarid Changthan; Reliable estimation of rock fragmentation is an important issue in the blasting operations in order to predict quality of the production.Since rock fragmentation is affected by various parameters such as blast pattern...; 关键词：BLASTING ROCK FRAGMENTATION ICA ANN hybrid model

Rock Fragmentation Prediction through a New Hybrid Model Based on Imperial Competitive Algorithm and Neural Network: 《Smart Construction Research》2017年第2期48-59,共12页Bhatawdekar Ramesh Murlidhar Danial Jahed Armaghani Edy Tonnizam Mohamad Saksarid Changthan; Reliable estimation of rock fragmentation is an important issue in the blasting operations in order to predict quality of the production. Since rock fragmentation is affected by various parameters such as blast patter...; 关键词：BLASTING ROCK FRAGMENTATION ICA ANN hybrid model

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