关键词: 微粒群算法, 支持向量机, 特征选择, 园林设计评价, 多类分类器

Abstract: According to the SVM algorithm theory，SVM based garden design evaluation model is established.By introducing binary PSO algorithm，the characteristic parameters of garden design is chosen to address the dimension disaster caused by a large number of irrelevant or redundant features，the garden design evaluation is maken by SVM multi-classifiers.Case analysis shows that this method can enhance the accuracy and reliability of the garden design evaluation.

Key words: Particle Swarm Optimization（PSO）, Support Vector Machine（SVM）, feature selection, garden design evaluation, multiclassifiers