In this paper , combine with what the author learned and studied during the three years , using the cluster algorithm and the rough set theory , the author propos two new rule generation methods and put forward two new neuro - fuzzy modeling methods with the t - s type of rule consequent , which named scanfis and rsanfis respectively . both methods can get over the rule explosion problem and confine the size of the rule base to a reasonable one . they give effective solutions to the modeling of the complicate multi - input systems 本文在学习已有文献的基础上,结合作者三年来的学习与实践,利用聚类算法较好的数据组织与分类能力以及粗集理论强大的数据分析与分类能力,分别提出了两种从系统的观测数据中提取模糊规则的方法,构造类似于anfis模型的scanfis模型和rsanfis模型,使得规则库的规模不再随系统的输入维数呈指数增长,一定程度上解决了维数灾难问题,为复杂的多输入系统的建模提出了一种切实有效的建模方法。
数据分析: data analysis与: take part in; participate in分类: classify分类数据分析: categorical data analysis超光谱数据分析与应用: hyperspectral data analysis and applications数据分析与技术发展中心: datdc data analysis and technique development center数据分析与简化系统: dares data analysis and reduction system通用数据分析与模拟: general data analysis and simulation数据分类: classification of data; data category; data classification; data qualification; data sorting; digital sorting; numerical classification数据分类机: data cla ifier; data classifier自动化数据分析与显示技术: adapt automated data analysis and presentation techniques数据分析: analysis of data; da data analysis; exploratory data analysis; interpretation; metric; olap数据分析包: data analysis package数据分析法: data analysis method数据分析器: data analyzer; data-analyzing machine数据分析师: business analyst; data analyst数据分析仪: data analyzer数据分析员: data analysis assistant; equity data analyst元数据分析: metadata analysis被选数据分类: sorting of selected data数据分类汇总: aggregate data数据分类算法: data-sorting algorithm数据分类系统: dcs data classification system采集数据分析: analysis of data collected多维数据分析: multidimensional data analysis