一种基于WL算法的加速方法

本文对WL算法和其加速方法TSVQ进行研究。通过对搜索范围的分析提出了一种通过设置搜索带、减少匹配点搜索范围的方法来确定搜索区间,并进行了实验验证。实验证明与TSVQ加速方法相比,本方法能够使合成速度大大提高,并且算法实现上更简单。     

Business failure prediction using decision trees

Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly financial investment and lending. The potential value of such models is emphasised by the extremely costly failure of high‐profile companies in the recent past. Consequently, a significant interest has been generated in business failure prediction within academia as well as in the finance industry. Statistical business failure prediction models attempt to predict the failure or success of a business. Discriminant and logit analyses have traditionally been the most popular approaches, but there are also a range of promising non‐parametric techniques that can alternatively be applied. In this paper, the relatively new technique of decision trees is applied to business failure prediction. The numerical results suggest that decision trees could be superior predictors of business failure as compared to discriminant analysis. Copyright © 2009 John Wiley & Sons, Ltd.     

北京市古树多样性研究

根据2007年北京市古树名木调查统计数据,全市现有古树28科47属66种(含变种、变型、品种)39 408株.通过对古树数量、种类构成、地理成分、珍稀濒危及重点保护树种和特色古树进行分析研究,表明北京市古树具有以下特征:种类丰富,数量众多;地理成分多样,温带特征明显;珍稀树种和特色古树占相当比例.     

两参数指数分布步进应力加速寿命试验的统计分析

给出了两参数指数分布产品截尾样本场合下步进应力加速寿命试验损伤失效率模型下参数的极大似然估计和拟矩估计，并通过Monte—Carlo模拟说明方法的可行性．     

基于决策树技术分析动态图形数据的研究与实现

针对传统动态数据分析方法(如时间序列分析)存在对动态图分析较繁琐的问题,研究基于决策树技术进行动态图形数据分析的方法和过程.利用采集的心电图数据和SLIQ算法加以实现,所得模型准确率约为73%.     

三维树木模拟研究与应用

以往树木模拟时只注重其外在形态的相似性,而忽略其生理特性和环境因素的影响。因此,以描述树木形态结构的L文法为核心,并结合树木的几何特性、生物学相关知识和具体环境因素,构建了3M+L树木模型。实验表明:该模型不仅具有良好的灵活性、交互性和普适性,而且利用该模型模拟出来的树木具有较高的逼真度,达到了很好的视觉效果。     

线性Fuzzy控制器实用性研究

针对常规模糊控制器的精度问题，提出一种近似平方律分布的非线性分级方法．该法用于线性模糊控制中效果很好，它不仅可以实现PI算法，而且有更强的鲁棒性．它也是连续PI算法离散化的一种新方法．     

A validation study of a variable weighting algorithm for cluster analysis

De Soete (1986, 1988) proposed a variable weighting procedure when Euclidean distance is used as the dissimilarity measure with an ultrametric hierarchical clustering method. The algorithm produces weighted distances which approximate ultrametric distances as closely as possible in a least squares sense. The present simulation study examined the effectiveness of the De Soete procedure for an applications problem for which it was not originally intended. That is, to determine whether or not the algorithm can be used to reduce the influence of variables which are irrelevant to the clustering present in the data. The simulation study examined the ability of the procedure to recover a variety of known underlying cluster structures. The results indicate that the algorithm is effective in identifying extraneous variables which do not contribute information about the true cluster structure. Weights near 0.0 were typically assigned to such extraneous variables. Furthermore, the variable weighting procedure was not adversely effected by the presence of other forms of error in the data. In general, it is recommended that the variable weighting procedure be used for applied analyses when Euclidean distance is employed with ultrametric hierarchical clustering methods.     

一类树的优美性的讨论

在优美图的问题中，Ｒｏｓａ猜想树是优美的；本文讨论了一类树，用Ｔｎｍ表示。     

万能渐开线检查仪量值统一的几个问题

本文提出了万能渐开线检查仪量值统一的几个问题及其解决办法,指出了渐开线样板的发展前途。