基于模糊数学的高维稀疏数据聚类统计方法设计

传统的数据聚类统计方法仅适用于低维数据聚类问题,为此,本研究设计了基于模糊数据的高维稀疏数据聚类统计方法,以期提升高维稀疏数据的聚类统计效果。以模糊C均值聚类算法为基础,通过优化初始聚类中心解决局部最优问题,缩短聚类统计时间;然后引入权重机制,令该方法适用于高维稀疏数据聚类统计。基于此,以余弦距离替换原有的欧几里德距离,提高高维稀疏数据聚类统计效果。实验证明：在数据维度不同时,该方法均有较优的聚类统计效果。当数据维度较低时,分块比例为10%时聚类统计效果最优;当数据维度较高时,分块比例为40%时聚类统计效果最优。在不同稀疏度等级时,该方法的命中率和聚类统计效率均较高。     

一种新的动态权重更新相关反馈方法*

提出了正负相关图像所占比例与特征值的标准方差相结合来调整对应权值的方法.为了避免相关反馈的权值调整陷入局部最优状态,引入一个干扰因子,使权值跳出局部最优区域.结果表明了该方法的优越性.     

改进的永磁同步电机双矢量模型预测转矩控制

针对永磁同步电机（PMSM）传统模型预测转矩控制（MPTC）权重系数设置复杂、转矩和磁通脉动大的问题,提出了一种改进的PMSM双矢量MPTC方法。该方法扩展虚拟矢量以增加候选电压矢量,结合电压矢量作用于转矩和磁链的原则,减少选择候选矢量的计算量。同时,针对转矩无差拍和磁通无差拍,运用候选矢量的转矩占空比和磁通占空比构造了优化规则代替传统预测转矩控制中的代价函数,避免权重系数的整定问题。仿真结果表明,所提改进方法不仅提高稳态性能,而且能保持MPTC动态响应迅速的特点。     

Influences of mullite fibers on mechanical and thermal properties of silica-based ceramic cores

Mullite fibers composite silica-based ceramic cores were successfully prepared by injection molding. The effects of mullite fibers on the mechanical and thermal properties of ceramic cores were investigated. The results indicated that the linear shrinkage was significantly decreased and the porosity was gradually increased with the increase of mullite fibers. In addition, the flexural strength for the room temperature and the simulated casting temperature of 1500°C was increased to a maximum value when the content of mullite fibers was about 1 wt.%, and then decreased with the increase of mullite fibers. The mullite fibers of 1 wt.% presented excellent mechanical properties with a linear shrinkage of .65%, a porosity of 6.96%, and a flexural strength of 17 MPa at room temperature and 34.83 MPa at the simulated casting temperature of 1500°C. Besides, the change in microstructure and properties in various contents of mullite fibers were analyzed.     

ANN valuation model of material LCIA profile

Weighting model is the only valuation model of life cycle impact assessment(LCIA) profile now. It simplifies evaluation function into linear function, and makes the determination of weighting factor complicated. Therefore the valuation of LCIA profile is the most critical and controversial step in life cycle assessment(LCA). Development on valuation models, which are understood easily and accepted widely, is urgently needed in the field of LCA.The modeling approaches for the linear evaluation function were summed up. The modeling approaches for the nonlinear evaluation function were set up by function approximation theory, which include choosing preference products, forming preference data, establishing artificial neural network(ANN) and training ANN by preference data.By selecting 7 material products as preference product, experience was done with modeling approaches of the nonlinear evaluation function. The results show that the modeling approaches and valuation model of the nonlinear evaluation function are more practical than the weighting model.     

新型超高相对分子量阳离子聚丙烯酰胺的合成

研究了由过硫酸铵、甲醛次硫酸氢钠、功能性单体 DA及其它助剂组成的低温复合引发体系引发丙烯酰氧乙基三甲基氯化铵 (AETMAC)与丙烯酰胺 (AM)水溶液绝热聚合。考察了影响共聚物特性黏数[η]的因素 :单体浓度 1 8%～ 3 2 % ,引发剂浓度 (9～ 3 0 ) mg/L ,功能单体浓度 (2 .9～ 2 3 .2 )× 1 0 - 3mol/L。由该低温复合引发体系在适宜条件下引发 AETMAC/AM共聚合 ,可得到溶解性能很好、阳离子度为 1 0 %～70 % ,分子量 (1～ 2 )× 1 0 7的 P(AETMAC-AM)干粉。     

镍系聚丁二烯橡胶生产技术进展

介绍了近几年国内外镍系顺丁橡胶生产技术的进展情况，内容涉及分子量调节技术、催化剂配置技术、节能降耗的气相聚合、本体聚合工艺及橡胶后处理过程中使用的热泵技术、螺杆挤压工艺，同时也对国内外顺丁橡胶新型防老剂的使用情况及其新品种的开发进行了简要介绍。     

超高相对分子质量聚乙烯纤维粘合涂层用水乳型聚丙烯酸酯微乳液的合成

以甲基丙烯酸甲酯(MMA)、丙烯酸丁酯(BA)、丙烯酸(AA)及丙烯酸羟乙酯(HEA)为单体,以十二烷基硫酸钠(SLS)、OP-10和正辛醇的复合物为乳化剂,当m(BA)∶m(MMA)∶m(AA)∶m(HEA)=50∶50∶3∶10、w(乳化剂)=13%、反应温度为80℃及反应时间为3h时,合成了可用于超高相对分子质量聚乙烯纤维粘合涂层的水乳型聚丙烯酸酯微乳液,单体转化率为99 8%,乳胶粒径为30nm,乳液膜的玻璃化温度为-28℃,应用工艺简单,涂层粘附性好、柔软、耐磨。     

高性能纤维的弯曲疲劳断裂研究

在自制弯曲疲劳装置上 ,对 3种高强对位芳纶及超高相对分子质量聚乙烯纤维 (Dyneema SK65 )进行双面弯曲疲劳试验。结果表明 ,Twaron 2 0 0 0弯曲疲劳寿命的自然对数与预加应力、弯曲角度呈线性关系 ,Dyneema SK65弯曲疲劳寿命明显长于对位芳纶 ,Twaron 2 0 0 0 ,Kevlar 12 9相近 ,都比Kevlar 2 9略长 ;高强型对位芳纶的弯曲疲劳断裂断口芯层呈现出“毛笔头”或“拔丝形”原纤化分裂形态 ,超高相对分子质量聚乙烯纤维弯曲疲劳断裂断口有明显的脆性折断形态 ,无原纤出现。     

聚酯的摩尔质量与机械性能研究——Ⅰ.动态力学性能

应用粘弹谱仪考察了不同摩尔质量的聚酯(PET、PBT、PBT/PET)的动态力学性能,结果表明摩尔质量增大将提高其模量,但亦导致结晶速度变慢,使测得的模量反而比摩尔质量较低的试样小.