计算机工程与应用2016，Vol.52Issue(22)：212-217,6.DOI:10.3778/j.issn.1002-8331.1501-0106
优化的GEP算法在爆破振动预测中的应用
Optimized GEP algorithm and its application in blasting vibra-tion predicting
摘要
Abstract
Based on Principal Component Analysis and Gene Expression Programming, an optimum GEP algorithm is proposed and applied in the prediction of blasting vibration peak value and main frequency. In this algorithm, PCA method is used to preprocess the input data, the correlation among the inputs is eliminated, and then GEP is applied to construct the prediction model. The experiment results show that this algorithm is more accurate and stable than existing prediction algorithms.关键词
主成分分析/基因表达式编程/预测/爆破振动Key words
Principal Component Analysis(PCA)/Gene Expression Programming(GEP)/prediction/blasting vibration分类
信息技术与安全科学引用本文复制引用
王斌,张迅,盛津芳,陈新,史秀志..优化的GEP算法在爆破振动预测中的应用[J].计算机工程与应用,2016,52(22):212-217,6.基金项目
科技部国际合作项目（No.2013DFB10070）；湖南省科技计划项目（No.2013FJ4069）资助。 （）
