A NEW CLASSIFICATION ARITHMETIC FOR MULTI-IMAGE CLASSIFICATION IN GENETIC PROGRAMMING

摘要：

New classification algorithm for multi-image classification in genetic programming (GP) is introduced, which includes algorithm of centered dynamic range selection with the power value of arithmetic progression and that of centered dynamic range selection with quick-decreasing power value of arithmetic progression.In the training of the operating agent for GP multi-image classification, different sets of power values are tested to achieve a more suitable range of margin values for the improvement of the accuracy in classification.The tests show that the two approaches can be used for more accurate classification for complicated problems of multi-image classification, and work better than the algorithm of either static or dynamic range selection.

关键词： Genetic programming Image classification Centered dynamic range selection with the power value of arithmetic progression Centered dynamic range selection with quick-decreasing power value of arithmetic progression Algorithm in classification

作者: YA-MIM LI MENG WANG LI-JUAN CUI DONG-MEI HUANG

作者单位: Institute of Systems Engineering, Tianjin University, Tianjin 300072, China;Artificial Intelligence Artificial Intelligence Research Center, Agriculture University of Hebei, Baoding 071001,China Library, Hebei University, Baoding 071002, China College of Sciences, Agriculture University of Hebei, Baoding 071001,China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1683-1687

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）