SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion

An efficient filter feature selection (FS) method is proposed in this paper, the SVM-FuzCoC approach, achieving a satisfactory trade-off between classification accuracy and dimensionality reduction. Additionally, the method has reasonably low computational requirements, even in high-dimensional feature spaces. To assess the quality of features, we introduce a local fuzzy evaluation measure with respect to patterns that embraces fuzzy membership degrees of every pattern in their classes. Accordingly, the above measure reveals the adequacy of data coverage provided by each feature. The required membership grades are determined via a novel fuzzy output kernel-based support vector machine, applied on single features. Based on a fuzzy complementary criterion (FuzCoC), the FS procedure iteratively selects features with maximum additional contribution in regard to the information content provided by previously selected features. This search strategy leads to small subsets of powerful and complementary features, alleviating the feature redundancy problem. We also devise different SVM-FuzCoC variants by employing seven other methods to derive fuzzy degrees from SVM outputs, based on probabilistic or fuzzy criteria. Our method is compared with a set of existing FS methods, in terms of performance capability, dimensionality reduction, and computational speed, via a comprehensive experimental setup, including synthetic and real-world datasets.     

Effect of Si or W Alloying on the Strength and Lifetime of a Kh14N20 Structural Steel under Thermal Cycling Conditions

Results of experimental studies on the effect of Si (3%) or W (4%) alloying of Kh14N20 structural steel as-received on its resistance to short-term and long-term static and cyclic thermal loading are presented. The increase in short-term and long-term static strength as well as in thermal fatigue characteristics is more pronounced for W alloying and less marked for Si alloying.     

关于GB/T8162-1999结构用无缝钢管标准的几个问题

针对结构用缝钢管标准修订后 ,16Mn牌号与Q345牌号如何对应提出意见 ,认为结构用无缝钢管能够进一步细分种类     

On the Linear Structure of Betting Criterion and the Checking of Coherence

We use imprecise probabilities, based on a concept of generalized coherence, for the management of uncertainty in artificial intelligence. With the aim of reducing the computational difficulties, in the checking of generalized coherence we propose a method which exploits, in the framework of the betting criterion, suitable subsets of the sets of values of the random gains. We give an algorithm in each step of which a linear system with a reduced number of unknowns can be used. Our method improves a procedure already existing in literature and could be integrated with recent approaches of other authors, who exploit suitable logical conditions with the aim of splitting the problem into subproblems. We remark that our approach could be also used in combination with efficient methods like column generation techniques. Finally, to illustrate our method, we give some examples.     

基于地块间水沙运移的黄土丘陵沟壑区小流域侵蚀产沙模型

根据黄土丘陵沟壑区的侵蚀产沙规律，在晋西羊道沟小流域建立了坡面、沟坡和沟道侵蚀产沙子模型；在GIS的支持下计算出小流域地块间水沙汇流网络，并引入到小流域侵蚀产沙模型中，使小流域侵蚀产沙成为有机结合；模型对羊道沟22次侵蚀性降雨的侵蚀模数具有78．4％的预报精度，对羊道沟1956－1970的年侵蚀模数具有76．1％的预报精度；模型并通过了晋西汾河上游两个小流域的可移植性检验。     

Al（OH）3浮游物对氧化铝生产的影响及应对措施

本文分析了山西铝厂拜尔法种分母液浮游物高的原因、浮游物在蒸发过程中的返溶情况,指出了浮游物对氧化铝产出率及蒸发工序的影响,并提出了解决办法。     

用KD计算法设计棒线材拉拔配模规程

KD计算法是KD－KS计算法在编制棒、线材拉拔配模规程中的应用，它完全可以取代现有的几种计算法。该法计算依据较为合理，运算操作简便。     

二甲基丙烯胺生产工艺技术改进

研究了杀虫双中间体二甲基丙烯胺的生产工艺，指出了在主反应进行的同时发生的副反应和工艺中存在的问题。提出了解决方法，小试收率提高了20％左右，小试确定的工艺条件成功地应用于工业化生产，取得了显著的经济效益。     

2004年河北省的降水特性

结合防汛水情工作的实际，从水文水资源角度系统、客观又有所侧重地分析了2004年河北省降水的时空分布特性、关键性降水出现时机及落区对我省水库蓄水的影响、大中型水库洼淀汛末蓄水状况，不仅探讨了风调雨顺之年的基本特征，而且有助于探索洪水资源化的实现途径。还为及时了解掌握2004年水资源动态变化的新情况，以便合理安排今冬明春生产、生活及生态用水提供了科学依据。     

Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion

We propose an uncorrelated heteroscedastic LDA (UHLDA) technique, which extends the uncorrelated LDA (ULDA) technique by integrating the weighted pairwise Chernoff criterion. The UHLDA can extract discriminatory information present in both the differences between per class means and the differences between per class covariance matrices. Meanwhile, the extracted feature components are statistically uncorrelated the maximum number of which exceeds the limitation of the ULDA. Experimental results demonstrate the promising performance of our proposed technique compared with the ULDA.