高校信息素质教育体系的构建及实现途径

通过对高校信息素质教育内容的分析,确立了信息素质教育的目标及其等级体系,探讨了信息素质教育的实现途径。     

Hierarchical Neural Networks Method for Fault Diagnosis of Large-Scale Analog Circuits

A novel hierarchical neural networks (HNNs) method for fault diagnosis of large-scale circuits is proposed. The presented techniques using neural networks(NNs) approaches require a large amount of computation for simulating various faulty component possibilities. For large scale circuits, the number of possible faults, and hence the simulations, grow rapidly and become tedious and sometimes even impractical. Some NNs are distributed to the torn sub-blocks according to the proposed torn principles of large scale circuits. And the NNs are trained in batches by different patterns in the light of the presented rules of various patterns when the DC, AC and transient responses of the circuit are available. The method is characterized by decreasing the over-lapped feasible domains of responses of circuits with tolerance and leads to better performance and higher correct classification. The methodology is illustrated by means of diagnosis examples.     

采取分层规划策略对图书排架进行科学管理

分析了图书馆书库管理中分层规划的必要性,讨论了图书馆在书库搬迁或倒库时分层规划的具体方案,对科学预测预留空位的优越性、分层规划的适用范围进行了探讨。     

基于Qos组播路由算法的研究

从源路由算法、分布式路由算法和层次型路由算法3个方面分析了现有Qos组播路由算法,介绍了相关算法的基本思想,并探讨了今后的研究方向。     

一种不完全信息下群体决策专家权重的确定方法

研究属性权重为实数且属性值为区间数的群体多属性决策问题,利用区间数的相离度概念及系统聚类分析的方法,先对群体决策的专家进行分类,然后确定每位专家的权重.     

基于结构纹理分解的改进图像压缩算法

用等级树集合分区(set partitioning in hierarchical trees,SPIHT)压缩结构分量所产生的误差一般情况下能体现高振荡的特性,比较符合纹理特点,所以将这部分误差信号叠加在纹理分量中形成一个新的纹理源,利用小波包变换进行压缩,提出了一种改进的基于结构-纹理分解的图像压缩处理算法.理论分析表明这是分层压缩问题中一种普适的有效策略.从实验结果可以看出,这种处理方式相对于现有的结构纹理分解压缩的方式而言,始终具有一定的信噪比增益,相对于目前的JPEG2000压缩标准及单一的SPIHT、快速小波包变换(FWP)等算法具有一定的优越性.     

基于分级规划的工艺决策任务分解与求解策略

根据分级规划原理，构造了基于分级规划的工艺决策任务分解策略、工艺决策任务求解策略以及工艺决策共性与个性问题分治策略．将工艺决策这个复杂的问题分解成一定数量、规模较小和易于求解的子任务，并将这些任务按不同的性质进行分类和分层，以便对不同性质的任务用最适合的方法进行求解．     

关于C~0阶三角形单元形函数的讨论

C°阶三角形单元是有限元法中最基本、应用最广泛的单元。本文简要叙述了这种单元形函数的分类和特点,建立了二类单元族形函数的数学表达式,讨论了它们在单元内的分布规律,并给出正确的图形表示。     

月径流序列的多层递阶预报研究

月径流序列是一类具有周期变化的非平稳时间序列．本文根据其特点，建立了多层递阶预报模型，文中对此类非平稳时间序列的建模及预报方法进行了深入研究     

Forecasting for the LCD monitor market

The TFT‐LCD (thin‐film transistor–liquid crystal display) industry is one of the key global industries with products that have high clock speed. In this research, the LCD monitor market is considered for an empirical study on hierarchical forecasting (HF). The proposed HF methodology consists of five steps. First, the three hierarchical levels of the LCD monitor market are identified. Second, several exogenously driven factors that significantly affect the demand for LCD monitors are identified at each level of product hierarchy. Third, the three forecasting techniques—regression analysis, transfer function, and simultaneous equations model—are combined to forecast future demand at each hierarchical level. Fourth, various forecasting approaches and disaggregating proportion methods are adopted to obtain consistent demand forecasts at each hierarchical level. Finally, the forecast errors with different forecasting approaches are assessed in order to determine the best forecasting level and the best forecasting approach. The findings show that the best forecast results can be obtained by using the middle‐out forecasting approach. These results could guide LCD manufacturers and brand owners on ways to forecast future market demands. Copyright 2008 John Wiley & Sons, Ltd.