势函数自适应加权模糊C-均值聚类方法

提出了一种新的基于势函数自适应加权的模糊 C-均值 ( PAWFCM)聚类算法。该方法以样本的空间势几何结构为基础 ,自适应计算出样本的加权矩阵 ,然后利用加权模糊 C-均值算法对样本集合进行分类。由于自适应地考虑到了不同样本点对分类的影响程度 ,对较复杂的样本集合 ,能明显提高分类的正确性和鲁棒性。算法的几个典型实验也证明了这一点     

智能大厦集成管理系统

作为一个智能化的大厦，其必要条件就是由一体化的集成系统对大厦进行综合管理，本文介绍了智能大厦的集成管理系统。     

Electrostatic effect on electron transfer between cytochrome b5 and cytochrome c

The binding and electron transfer between wild type, E44A, E56A, E44/56A, E44/48/56A/D60Aand F35Y variants of cytochrome b5 and cytochrome c were studied. When mixed with cytochrome c, the cytochrome b5E44/48/56A/D60A did not show the typical UV-vis difference spectrum of absorption, indicating that the alteration ofthe surface electrostatic potential obviously influenced the spectrum. The electron transfer rates of wild type cytochromeb5, its variants and cytochrome e at different temperature and ionic strength exhibited an order of F35Y > wild type >E56A > E44A > E44/48/56A/D60A. The enthalpy and entropy of the reaction did not change obviously, suggestingthat the mutation did not significantly disturb the electron transfer conformation. The investigation of electron transfer rateconstants at different ionic strength demonstrated that electrostatic interaction obviously affected the electron transfer pro-cess. The significant difference of Cyt b5 F35Y and E44/48/56A/D60A from the wild type protein further confirmed thegreat importance of the electrostatic interaction in the protein electron transfer.     

多类型无线传感器网络混合路由协议研究

使用两种类型的传感器组成无线传感网,通过结合多跳路由和分簇路由两种方式,对混合路由方式设计研究,用NS-2对研究结果进行仿真.将混合路由的仿真结果分别与单独使用分簇路由和多跳路由的仿真结果进行比较,得出新混合路由使得网络周期更长的结论.     

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.     

圈闭含油气性信息灰色聚集ART网络聚类评价法

对某地托库测区 1 0种物探综合信息 ( 72× 2 4× 1 0 )进行油气圈闭性评价 ,采用信息灰色聚集法压缩信息形成灰色聚集样本属性 ,采用 ART网络聚类法自动对聚集信息进行聚类分析 ,达到圈闭含油气性评价的目的 .该方法具有智能化程度和可信度较高的特点     

面向动态时间弯曲距离的灰关联聚类方法研究

灰色关联聚类是灰色系统分析的重要研究领域.现有的灰关联聚类方法在处理不同长度序列数据时,通常采用补齐或删除数据方式进行处理,增加了系统的不确定性.在动态时间弯曲距离基础上,提出了一种新的灰关联聚类方法,通过计算序列间距离矩阵的最短路径来度量相似程度,最终完成序列的灰关联聚类.该方法无需对序列数据进行人工干预,具有更强的鲁棒性.实验结果表明,在处理不同长度数据序列时,聚类结果更为准确.     

空间绳牵引并联机器人多目标优化设计

以6自由度空间绳牵引并联机器人工作空间体积、最小索力和全局灵巧度为优化目标,在保证绳索张力范围的前提下建立了多目标优化的数学优化模型.采用神经网络-遗传算法求得优化的3组满意解,并采用灰色聚类法选择多目标优化时的权重系数.仿真结果表明该优化方法可以有效地实现结构的优化,为同类绳牵引并联机器人的设计提供了有益的参考.