基于非线性系统T-S模糊模型的随机最小方差控制

以非线性系统的T-S模糊模型为基础,提出了一种基于最小方差性能指标的随机控制方法。分析了系统的稳定性问题并给出了系统稳定的充分条件。将此方法用于连续反应搅拌釜(CSTR)中和过程pH值控制的仿真试验,仿真结果表明了该方法的有效性。

我国各地区人口与经济协调发展的分类研究

人口与经济的协调发展是我国可持续发展的关键之所在 ,本文利用现代统计分析中的Ward最小方差聚类分析法 ,对我国各省、市、自治区人口与经济协调发展状况进行了全面而深入的分类研究 ,得到了相应的的分类模型和分类结果 。

A Novel Feature Selection Framework for Automatic Web Page Classification

The number of Internet users and the number of web pages being added to www increase dramatically every day. It is therefore required to automatically and efficiently classify web pages into web directories. This helps the search engines to provide users with relevant and quick retrieval results. As web pages are represented by thousands of features, feature selection helps the web page classifiers to resolve this large scale dimensionality problem. This paper proposes a new feature selection method using Ward’s minimum variance measure. This measure is first used to identify clusters of redundant features in a web page. In each cluster, the best representative features are retained and the others are eliminated. Removing such redundant features helps in minimizing the resource utilization during classification. The proposed method of feature selection is compared with other common feature selection methods. Experiments done on a benchmark data set, namely WebKB show that the proposed method performs better than most of the other feature selection methods in terms of reducing the number of features and the classifier modeling time.

系统聚类法及其应用研究

本文介绍了系统聚类法的基本思想和常用方法以及优缺点,然后举例说明了其在具体问题中的应用。