中国石油大学学报（自然科学版）Issue(1)：60-65,6.DOI:10.3969/j.issn.1673-5005.2015.01.008
基于基因表达式编程算法的磨料射流切割深度预测模型
A model for predicting cutting depth of casing using AWJ technique based on gene expression programming algorithm
摘要
Abstract
The cutting depth of casing using an abrasive water jet ( AWJ) technique is determined by the hydraulic power, the properties of the abrasives used and operation conditions. A prediction model for the cutting depth using the AWJ tech-nique was established based on a gene expression programming algorithm. In the construction of the gene expression of func-tions, the operators of selection, mutation operator, plugging string, insertion and transform were used to perform the genetic operations in order to obtain an optimal function expression. A comparative analysis of the optimal function expression, an ar-tificial neural network model and an regression correlation model was carried out. The results show that the average error be-tween experimental results and the prediction using the gene expression algorithm is 3. 93%, and the standard error is 0. 251, with accuracy significantly higher than that of other prediction models. The gene expression algorithm model proposed can be effectively used to support the quantitative control of casing cutting using the AWJ technique.关键词
射流/基因表达式编程算法/切割套管/切割深度/预测模型Key words
water jet/gene expression programming algorithm/casing cutting/cutting depth/prediction model分类
能源科技引用本文复制引用
王瑞和,仲冠宇,周卫东,李罗鹏,杨焕强,王方祥..基于基因表达式编程算法的磨料射流切割深度预测模型[J].中国石油大学学报（自然科学版）,2015,(1):60-65,6.基金项目
国家科技重大专项(2011ZX05060) （2011ZX05060）
中央高校基本科研业务费专项(14CX06023A) （14CX06023A）
