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.     

大型径向和推力滑动轴承试验台结构设计与应用

对径向滑动轴承、推力滑动轴承试验台以及实验台的结构设计、试验范围、功能和工业产品实验进行了介绍。该试验台在滑动轴承的实验研究中得到了很好的应用。     

系统结构模型分部的底层要素法

本文从系统的底层要素出发，提出并证明了底层要素存在性、底层要素后果集并集的完全性以及它们在同一部分的充分必要条件，由此导出了系统结构模型分部的算法，实际应用进一步说明了这一方法的有效性。     

Structural OH in mantle-derived clinopyroxene megacrysts from Nushan

Thirteen clinopyroxene megacrysts from Nushan Cenozoic basalts have been investigated by Fourier transform infrared spectrometer(FTIR). The results demonstrate that all samples contain trace amount of structural OH. Clinopyroxenes from Nushan show four groups of absorption bands, in which, 3 472–3 506 cm⁻¹ is the major characteristic one. It is suggested that the position of major band is probably related to AI content: the position of major characteristic band for high-AI samples is around 3 470 cm⁻¹, whereas that for low-AI samples around 3 620 cm⁻¹.     

两端任意支承的矩形截面钢筋混凝土梁可靠性优化设计

利用雷－莉法把非正态变量转换为当量正态变量,建立了在多个任意分布基本变量情况下的２性结构优化的设计数学模型。最后给出了设计人格最小的矩形截面钢筋混凝土梁的可靠性优化设计实例。     

一种识别结构主要失效模式的有效算法

发展了线性互补规划法中的Ｌｅｍｋｅ算法,并与可靠性分析中的分支－约界法相接合,提出一种识别结构主要失效模式的算法,它既不用进行结构重分析,也不用通过判别结构的刚度矩阵Ｋ的奇异性来识别主要失效模式,而是应用一种新的简易结构失效判别准则,最后通过数值算例说明了方法的实用性。     

热电联产热力系统参数与结构方案同步综合

将复杂非线性蒸汽动力系统参数优化扩展到热电联产流程结构和蒸汽参数的联合优化,提出的混合整数非线性规划（ＭＩＮＬＰ）模型包含非凸非线性费用目标函数、复杂非线性过程约束及多方案选择的组合优化０－１变量逻辑约束．应用算例表明,所采用的模型和改进的遗传算法解决热力系统组合方案优化问题是可行的．     

关于中学化学双语课堂教学语言的思考

围绕双语教学的必要性及双语教学在实施过程中的主要问题,尤其是教师的课堂教学语言在整合时出现的问题进行了总结分析,并提出了自己的几点思考.