A new type SVM-projected SVM

Support vector machine (SVM), developed by Vapnik et al., is a new and promising technique for classification and regression and has been proved to be competitive with the best available learning machines in many applications. However, the classification speed of SVM is substantially slower than that of other techniques with similar generalization ability. A new type SVM named projected SVM (PSVM), which is a combination of feature vector selection (FVS) method and linear SVM (LSVM), is proposed in present paper. In PSVM, the FVS method is first used to select a relevant subset (feature vectors, FVs) from the training data, and then both the training data and the test data are projected into the subspace constructed by FVs, and finally linear SVM(LSVM) is applied to classify the projected data. The time required by PSVM to calculate the class of new samples is proportional to the count of FVs. In most cases, the count of FVs is smaller than that of support vectors (SVs), and therefore PSVM is faster than SVM in running. Compared with other speeding-up techniques of SVM, PSVM is proved to possess not only speeding-up ability but also de-noising ability for high-noised data, and is found to be of potential use in mechanical fault pattern recognition.     

On the tribological characteristics of dynamically loaded journal bearing with micropolar fluids

The addition of the additives to the lubricant oil to enhance the characteristics of the lubricant will influence the performance of the bearings. Based on the theory of micropolar fluids, the tribological characteristics of a dynamically-loaded journal bearing are numerically studied. Comparisons are made between the Newtonian fluids and the micropolar fluids. It is shown that for a dynamically-loaded journal bearing, the micropolar fluids yield an increase not only in the friction force, but also in the friction coefficient. In addition, the oil film pressure and the oil film thickness are obviously higher than that of Newtonian fluids.     

无界区域R1上推广的B-BBM方程的整体吸引子

本文研究了无界区域R^1上推广的B—BBM方程的长时间动力学行为，证明了该方程整体吸引子的存在性．     

浅谈图书馆工作与档案工作之异同

阐述了图书馆工作与档案工作的相互联系,分析了两者的共同基础和差异,提出了图书馆工作与档案工作的一体化要求。     

高校科研经费的核算与管理研究

分析了目前高校科研经费核算与管理中存在的种种问题,并提出强化科研经费核算与管理的对策。     

高校义务馆员工作初探

分析了义务馆员工作的发展现状,论述了义务馆员工作的意义、定位、管理方式、面临的困难及发展方向。     

从形式语义学的角度看汉语时态算子对正极项的允准

极性敏感现象是语言的一种共性。本文通过对汉语中的时态副词的研究,证明了时态副词也是一种正极项,并验证了Ginnakidou所提出的真实性算子对极性敏感项的允准的假说同样适用于解释汉语中的正极项的分布。     

我国国内旅游需求影响因素分析及规模预测

近20年来我国国内旅游业发展之所以形成高潮,一方面由于我国实行改革开放的结果,而另一方面更在于近年我国居民可支配收入和闲暇时间的增多.2003年上半年,中国旅游业遭受SARS的沉重打击,2003年下半年国内旅游业经历了迅速恢复期,2004年已经表现出很强的增长势头.就影响我国国内旅游业发展的主要因素进行分析,并对未来五年我国国内旅游发展规模进行预测.     

CA收录2006年《宝鸡文理学院学报:自然科学版》论文统计结果

目的研究CA数据库收录《宝鸡文理学院学报:自然科学版》2006年发表论文的收录情况。方法通过CA数据库进行检索统计。结果《宝鸡文理学院学报:自然科学版》2006年发表的论文中有23篇被CA数据库摘录,其中第1期、第2期各6篇,第3期8篇、第4期3篇,有95.6%的稿件来自校外作者,校内作者的论文被CA摘录的比率不足4.4%。结论1995~2006年12年间,《宝鸡文理学院学报:自然科学版》发表的论文已经有252篇被CA数据库摘录,同时被德国Zentralblatt MATH(ZBl)数据库和美国Mathematical Reviews(MR)数据库摘评的数学论文分别为309篇和256篇,充分发挥了高校学报进行学术交流的窗口和桥梁作用,彰显出一定的特色,但是提高内稿质量问题不容忽视。     

淋洗液发生器离子色谱抑制电导法测定甜味剂

采用淋洗液发生器阴离子交换-抑制电导检测法,同时分离和检测阿思巴甜、甜蜜素、安赛蜜和糖精4种常见的甜味剂.由于采用了淋洗液发生器,使背景电导大大降低,可以实现甜味剂的高灵敏度检测和分离.该方法具有良好的重现性、线性关系和较低的检测限.阿思巴甜、甜蜜素、安赛蜜和糖精的检测限分别是:1.27、0.045、0.033、0.063 mg/L;样品测定的回收率分别为99.7%、102.8%、98.6%、103.5%.