Solving the Optimal Solution of Weight Vectors on GP-decision Tree

摘要：

In this paper, a novel approach based on genetic programming algorithm (GPA) is proposed to solve the optimal solution of weight vectors on GP-decision tree. In this GP-decision tree algorithm, the GP-decision tree is constructed according to the error rate of tree nodes and the error rate reduction of partitioned nodes. By using this algorithm, not only the weight vectors of tree nodes can be solved, but also the structure of GP-decision tree can be determined. Experimental results show this algorithm is efficient and the right trend forecasting model can be selected by using this GP-decision tree algorithm.

关键词： Genetic programming GP-decision tree Trend forecasting model Model selection

作者: Sichun Wang

作者单位: Information School, Hunan University of Commerce Changsha 410205, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 3308-3311

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）