摘要
鉴于传统的投影寻踪模型(PP)处理高维非线性数据很难达到良好的效果,引入生物群体智能算法中的狼群算法对PP模型进行优化,以提高投影寻踪模型的精准度。以生态效益和社会效益为准则层建立水土保持综合效益评价指标体系,并运用定量分析原理提出了水土保持综合效益的5类分级标准。将优化模型运用到湖北省郧西县3个时间段的水土保持综合效益研究中,分析结果与当地实际情况十分吻合,表明所建立的指标体系和优化模型比较合理,评价方法可行,不失为水土保持综合效益的研究提供了一类新的思路与方法。
In view of the unsatisfactory effect of conventional projection pursuit model in high-dimensional nonlinear data processing,this paper introduces the wolf pack algorithm of biological swam intelligence algorithm to optimize the PP model and improve the accuracy of projection pursuit model. The index system of comprehensive benefit assessment for soil and water conservation is established based on criteria level of ecological and social benefits; Five classes of soil and water conservation comprehensive benefits are proposed using principles of quantitative analysis. The optimized model is applied in the comprehensive benefits analysis of soil and water conservation in Yunxian County of Hubei Province during the three periods. The results are perfectly in line with the actual conditions,demonstrating that the established assessment index system and the optimized model are reasonable,the assessment method is proved to be feasible; all of which can be considered as new ideas for the comprehensive assessment of soil and water conservation.
出处
《人民长江》
北大核心
2017年第12期79-83,共5页
Yangtze River
关键词
狼群算法
投影寻踪
分级标准
水土保持综合效应
wolf pack algorithm
projection pursuit
grading standard
soil and water conservation comprehensive effect
