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基于人工鱼群算法岩体可爆性分级的投影寻踪回归方法
引用本文:方崇,张信贵,代志宏.基于人工鱼群算法岩体可爆性分级的投影寻踪回归方法[J].爆破,2009,26(3):14-17.
作者姓名:方崇  张信贵  代志宏
作者单位:广西大学土木建筑工程学院,南宁,530004;广西水利电力职业技术学院,南宁,530023;广西大学土木建筑工程学院,南宁,530004;广西电力勘察设计研究院,南宁,530023
基金项目:中国-新加坡国际合作项目《地下岩洞爆炸损伤的模型试验研究》,广西自然科学基金 
摘    要:在分析影响岩体可爆性因素的基础上,选择岩体坚固性系数、声阻抗、炸药消耗量、平均裂隙距作为岩体可爆性分级评判指标,建立岩体可爆性分级的投影寻踪综合评价模型,利用人工鱼群算法优化其投影方向,根据投影特征指标值对岩体可爆性进行分级评价,并将其应用于某矿山岩体可爆性分级.评价结果表明,该评价模型可以避免主观因素对权重确定的影响,评价结果客观准确,为岩体可爆性综合判别提供了一种新的方法.

关 键 词:投影寻踪  人工鱼群算法  岩体  可爆性  分级

Projection Pursuit Regression Method of Rock Blastability Classification Based on Artificial Fish-Swarm Algorithm
FANG Chong,ZHANG Xin-gui,DAI Zhi-hong.Projection Pursuit Regression Method of Rock Blastability Classification Based on Artificial Fish-Swarm Algorithm[J].Blasting,2009,26(3):14-17.
Authors:FANG Chong  ZHANG Xin-gui  DAI Zhi-hong
Affiliation:FANG Chong1,2,ZHANG Xin-gui2,DAI Zhi-hong3(1.College of Civil , Aitectural Engineering,Guangxi University,Nanning 530004,China,2.Guangxi Hydraulic , Electric Polytechnic,Nanning 530023,3.Guangxi ElectricPower Industry Investigation Design , Research Institute,China)
Abstract:From analyzing on the influencing factor of rock blastability,the rock hardness coefficient,acoustic impedance,explosive specific charge and average fissure length were chosen as the evaluation index to establish the comprehensive evaluation model of projection pursuit.The project direction was optimized by the Artificial Fish-swarm Algorithm,and applied to evaluate the rock blastability in a mine.The results show that this model can avoid the influence of subjective to weight coefficient and the result is ...
Keywords:projection pursuit  Artificial Fish-Swarm Algorithm  rock  blastability  classification  
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