ON THE CONTROL OF THE GROWTH OF PROGRAM SIZES IN THE COURSE OF CLASSIFIER EVOLUTION IN IMAGE CLASSIFICATION IN GENETIC PROGRAMMING
The main indicators of the performance of an image classifier include classification accuracy, classification efficiency and evolution efficiency, whereas the sizes of the programs involved in genetic programming stand as one of the major factors that influence the performance of the classifier. Some effective means are introduced in this paper for the control of program sizes, which is done through scientific construction of fitness functions of the classifier in image classification in genetic programming. Tests showed that, the growth of program sizes were effectively put under control during the course of evolution, which, in turn, greatly improved the general performance of the image classifier in genetic programming.
Genetic programming image classification classifier construction program size control Introduction
YA-MIN LI JIN-RU MA LI-JUAN CUI QIU-XIA ZHAO
Artificial Intelligence Research Center, Agricultural University of Hebei, Baoding 071001,China College of Foreign Language, Agriculture University of Hebei, Baoding 071001, China Library, Hebei University, Baoding 071002, China
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
976-980
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）