以n次代数曲线为不变集的平面二次系统

证明了以ｎ 次代数曲线ｙ＝ ｃ０ ＋ ｃ１ｘ＋ ｃ２ｘ ＋ …＋ ｃｎｘｎ 为不变集的平面二次系统,当ｎ ＞ ２ 时无极限环也无奇闭轨     

浅谈民用建筑的应急照明设计

系统阐述了民用建筑中应急照明设计的内容、要求,并对其供电电源的种类以及应急照明光源的控制与接线方法作了进一步的介绍。     

改进马尔可夫链降雨量预测模型的应用

根据马尔可夫链预测方法,汇总分析1956～1999年昆明市东川区的年降雨量资料,采用均值-标准差分级法,对各年的降雨量进行状态分级,分为洪涝、偏涝、正常、偏旱、干旱5个状态.应用马尔可夫链及转移概率矩阵对昆明市东川区2000年的降雨量进行分析预测,并根据模糊集理论中的级别特征值预测降雨量.结果表明:采用该方法预测的结果与实际情况相吻合.     

基于Hausdorff距离的直觉模糊多属性决策的TOPSIS方法

传统的TOPSIS方法在考察目标方案与正、负理想方案的距离时多采用欧氏距离来度量.用Hausdorff距离替换欧氏距离,并用其来度量直觉模糊集（IFS）之间的距离,进而建立相对贴近度的概念,由此对目标方案进行排序、择优.实证分析结果表明该方法有效、实用,在直觉模糊多属性决策中,该方法比欧氏距离方法要简单,但计算结果完全一致.     

凸函数及其在不等式证明中的应用

凸性是一种重要的几何性质，凸函数是一种性质特殊的函数，凸集和凸函数在泛函分析、最优化理论、数理经济学等领域都有着广泛的应用．借助凸集引入凸函数概念，介绍了凸函数的基本性质，特别研究了凸函数的Jensen不等式在不等式证明中的应用。     

Yarn Quality Prediction and Diagnosis Based on Rough Set and Knowledge-Based Artificial Neural Network

In the spinning process, some key process parameters（ i. e.,raw material index inputs） have very strong relationship with the quality of finished products. The abnormal changes of these process parameters could result in various categories of faulty products. In this paper, a hybrid learning-based model was developed for on-line intelligent monitoring and diagnosis of the spinning process. In the proposed model, a knowledge-based artificial neural network（ KBANN） was developed for monitoring the spinning process and recognizing faulty quality categories of yarn. In addition,a rough set（ RS）-based rule extraction approach named RSRule was developed to discover the causal relationship between textile parameters and yarn quality. These extracted rules were applied in diagnosis of the spinning process, provided guidelines on improving yarn quality,and were used to construct KBANN. Experiments show that the proposed model significantly improve the learning efficiency, and its prediction precision is improved by about 5. 4% compared with the BP neural network model.     

Al-1%Si单晶制备工艺及微观组织分析

在自制的真空熔炼、氩气保护下拉式连续定向凝固设备上成功制取了具有单晶组织的φ8mm Al-1%Si合金棒材,并对其组织演变过程及稳定性进行了研究.分析了定向凝固过程中,硅颗粒在单晶组织中的分布形态,提出了使硅固溶或弥散均匀分布于铝基体中的措施.     

对集不交的循环赛图K11^（i）与对集的算法

给出了边矩阵和循环赛图的定义。提出了求解完全图K（2n＋1）的△（G）＋1个对集最的算法，以及对集互交的循环赛图K11^（1），K11^（2），…，K11^（i）的构造方法。讨论任意对集Ei及循环图K（2n＋1）^＊的个数问题。介绍了14个对集不交的循环赛图K11^（1），K11^（2），…，K11^（14）的构造过程。     

非紧集上若干Ky Fan不等式

引入新的连续性和凸性概念,证明了非紧集上不具有任何连续性的函数弱Ky Fan点的存在性,给出了几个极大极小不等式定理,所得结果将著名的Ky Fan不等式定理推广至非紧情形且只需较弱的连续性和较弱的凸性．     

Flow-Shop Scheduling Models with Parameters Represented by Rough Variables

In reality, processing times are often imprecise and this imprecision is critical for the scheduling procedure. This research deals with flow-shop scheduling in rough environment. In this type of scheduling problem, we employ the rough sets to represent the job parameters. The job processing times are assumed to be rough variables, and the problem is to minimize the makespan. Three novel types of rough scheduling models are presented. A rough simulation-based genetic algorithm is designed to solve these models and its effectiveness is well illustrated by numerical experiments.