影响有机化合物酸碱强度的因素

主要从有机化合物的结构出发,分析和判断了电子效应、杂化方式及空间效应等因素对有机分子酸碱性的影响.     

结构稳定性在非线性系统鲁棒性分析中的应用

探讨了非线性系统的结构稳定性、分叉点和鲁棒性之间的关系，提出了一种分析非线性系统鲁棒稳定性的方法，并给出了相应的计算实例．     

基层图书馆工作现状及对策

针对新时期基层图书馆所面临的经费不足、体制僵化、管理观念陈旧等一系列问题，提出了使基层图书馆走出国境、适应新时代发展需要的若干对策。     

格兰·泰勒棱镜两类视场角的比较研究

以格兰·泰勒棱镜为例 ,推导了沿主截面和垂直主截面两正交方向的最大视场角 ,并在常用结构角下比较了两类视场角的大小及它们随波长的变化关系 ,得知沿主截面的视场角对光路调整影响较大     

陕西省产业结构的现状及其优化

分析陕西省产业结构的特点及其优化途径.认为陕西省产业结构的特点是第一产业总量缓步增长而比重下降,第二产业总量增长迅速,比重快速上升,而第三产业快速增长.陕西省产业结构趋向合理,但也存在着第二产业发展滞后,竞争力低下,缺乏集群效应和主导产业模糊等问题.产业结构的优化可通过技术创新改造传统产业,培育主导产业,发挥集群效应等途径实现.     

结构动力分析一种简易的直接积分法

本文利用方块脉冲函数优良的运算性质,提出一种结构动力分析简易的直接积分法——方块脉冲函数法,具有无条件稳定的积分格式,并表明方法的可行和有效.     

玻璃钢地下输水管的生产工艺

阐述了生产玻璃钢地下输水管道的工艺流程及管壁各层的设计内容及其作用,分析了各工艺中的工艺要点,并给出了生产工艺数据。     

结构力学计算机辅助教学模式的应用研究

针对结构力学这门课程,从教学改革的需要出发,分析了计算机辅助教学的必要性,介绍了CAI课件的研制与课堂应用效果。     

Samples Selection for Artificial Neural Network Training in Preliminary Structural Design

An artificial neural network (ANN) is applied in the preliminary structural design of reticulated shells. Major efforts are made to enhance the generalization ability of networks through well-selected training samples. Number-theoretic methods (NTMs) are adopted to generate samples with low discrepancy, i.e.uniformly scattered in the domain, where discrepancy is a quantitative measurement of the uniformity. The discrepancy of the NTM-based sample set is 1/6-1/7 that of samples with equal spacing. In a case study,networks trained by NTM-based samples are compared with those trained by equal-spaced samples in generalizing performance. The results show that both the computational precision and stability of the former ANNs are more satisfactory than those of the latter. It is concluded that the flexibility of ANNs in generalizing can be effectively increased by use of uniformly distributed training samples rather than simply piling data.More reliable uniformity should be obtained, however, through NTMs instead of equal-spaced samples.     

Forecasting recessions using the yield curve

We compare forecasts of recessions using four different specifications of the probit model: a time invariant conditionally independent version; a business cycle specific conditionally independent model; a time invariant probit with autocorrelated errors; and a business cycle specific probit with autocorrelated errors. The more sophisticated versions of the model take into account some of the potential underlying causes of the documented predictive instability of the yield curve. We find strong evidence in favour of the more sophisticated specification, which allows for multiple breakpoints across business cycles and autocorrelation. We also develop a new approach to the construction of real time forecasting of recession probabilities. Copyright © 2005 John Wiley & Sons, Ltd.