基于模糊聚类和模糊积分的森林蓄积量预测模型  

Prediction Model of Fuzzy Clustering and Fuzzy Integral Based on Forest Stock Volume

作　　者：肖涛[1] 黄冬梅[1] 

机构地区：[1]河北农业大学理学院,河北保定071001

出　　处：《电脑编程技巧与维护》2013年第6期82-83,86,共3页Computer Programming Skills & Maintenance

基　　金：河北省教育厅高等学校科学技术研究指导项目;课题号:Z2011267

摘　　要：以塞罕坝机械林场的资料为基本数据源,通过模糊聚类分析蓄积估测的重要因子,利用区间值带符号模糊测度的Choquet模糊积分作为组合算子,给出一种基于模糊积分的非线性组合预测森林蓄积量的模型,采用粒子群算法和遗传算法求解该模型,结果说明了粒子群算法在求解该模型时,比遗传算法的收敛速度较快,而且能搜索到比遗传算法更优的解,估测的森林蓄积量与真实值更贴近。This paper in Saihanba mechanical forest farm data as basic data source, through the important factor of fuzzy clustering analysis of stock estimation, Vsing the interval-valued fuzzy measure with the symbol as a combination operator of Choquet fuzzy integral, gives a forecast of forest volume model based on nonlinear combination of fuzzy integral is solved by particle swarm algorithm and genetic algorithm for the model, the results showed that not only the algorithm for solving the model better than the genetic algorithm has a faster convergence speed, but also can search the better than the genetic algorithm solution, estimating forest volume and close to the true value.

关 键 词：非线性回归 模糊聚类分析 Choquet-积分 粒子群算法 

分 类 号：S757.2[农业科学—森林经理学] TP18[农业科学—林学]