模糊值函数的泰勒展开式

为了解决利用λ—λ截集证明模糊值函数的展开式过程中遇到的区间相加不收敛问题,提出并证明了模糊值函数运算的一个定理,给出了模糊值函数微分的解析表达形式。在此基础上,定义了模糊泰勒展开式,对含有中值的泰勒展开式进行证明,并对其近似表达的误差进行分析。结果表明,经典与模糊的泰勒展开式具有相似的表述形式。     

肉苁蓉(CistanchedeserticolaMa)胚胎学研究Ⅱ.胚和胚乳的发育

肉苁蓉为细胞型胚乳，初生胚乳核第一次分裂即形成细胞壁．具珠孔端胚乳吸器．种子成熟后由３～５层胚乳细胞包围着胚．合子横分裂形成顶细胞和基细胞．顶细胞纵分裂形成二分体和四分体，以后向各个方向分裂形成多细胞原胚．基细胞多次横分裂形成由一纵列细胞组成的胚柄．其胚胎发生属柳叶菜型．成熟种子中，胚仍然处于球形胚阶段．     

沙冬青(Ammopiptanthus mongdicus Maxim Cheng f.)种子发育的研究

本文通过对沙冬青种子发育过程的研究,得出以下结果: 1)沙冬青的柱头上具纤细的长指状乳突细胞,空心花柱细长;2)邻近珠柄的子房壁内侧表皮细胞内所贮淀粉粒随受精及胚的早期发育而消失;3)胚乳母细胞早于受精卵发育,属核型胚乳;4)胚柄细胞内均有“圆球状”体,基部区域外层的细胞壁发生内突;5)胚胎发生为茄塑,胚从心形期发育至鱼雷形期,发生了90°旋转;6)成熟种子中,种皮由外珠被构成,胚乳细胞残留1～2层。     

Parallel Frequent Pattern Discovery： Challenges and Methodology

Parallel frequent pattern discovery algorithms exploit parallel and distributed computing resources to relieve the sequential bottlenecks of current frequent pattern mining （FPM） algorithms. Thus, parallel FPM algorithms achieve better scalability and performance, so they are attracting much attention in the data mining research community. This paper presents a comprehensive survey of the state-of-the-art parallel and distributed frequent pattern mining algorithms with more emphasis on pattern discovery from complex data （e.g., sequences and graphs） on various platforms. A review of typical parallel FPM algorithms uncovers the major challenges, methodologies, and research problems in the field of parallel frequent pattern discovery, such as work-load balancing, finding good data layouts, and data decomposition. This survey also indicates a dramatic shift of the research interest in the field from the simple parallel frequent itemset mining on traditional parallel and distributed platforms to parallel pattern mining of more complex data on emerging architectures, such as multi-core systems and the increasingly mature grid infrastructure.     

基于已有映射结果的本体映射

为了提高本体映射的查准率和查全率,提出基于已有映射结果的本体映射算法.该算法以已有映射结果为背景知识,应用多种启发式策略选择中间本体,将直接映射结果与通过中间本体的间接映射结果相结合,并利用迭代优化算法克服背景知识不准确对映射结果的影响.实验结果表明: 该方法比直接映射方法的查准率和查全率分别提高1.10%和2.52%.说明该方法可以有效地提高映射的查准率和查全率.     

基于移动平均线的股票买入时机算法

基于简单移动均线和加权移动平均线建立寻找大概率获得预期盈利的股票买入算法.算法给出一种筛选股票赢利点的多空点方法,以预期盈利为目标,建立寻找最大概率获得预期盈利的股票买入时机算法.实验结果表明,该算法是有效和可行的.