数字调节器的切换方法分析

本文在分析数字调节器控制算法的基础上，重点分析了数字调节器正常运行时各运行状态间的切换方法。     

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。     

西藏公务员工作满意度调查与分析

通过对西藏公务员工作满意度的调查,分析影响西藏公务员工作满意度的主要因素以及工作满意度体现在人口统计变量上的差异,并对此提出相应的对策建议。     

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。     

空调水泵变频调节的变压差控制研究

水泵变频的变压差控制就是使压差随着流量的减少而减小,保持管路特性曲线不变,尽量减少系统的无用能耗。实例计算表明,与定压差控制相比,变压差控制需要增加的成本不多,节省的能耗却多了一倍。     

基于遗传算法的车辆ABS在线整定PID控制及仿真

分析了ABS(防抱制动系统)PID控制方法的原理。提出了基于遗传算法的在线ABS PID控制方法。为了使控制器具有更高的搜索效率以满足ABS的实时性要求,改进了遗传算法的遗传算子,使复制与交叉操作并列存在,使用具有选择性的交叉操作,并改变变异操作的随机性,使其成为受控的随机操作。使系统能根据车辆的运行条件实时整定PID控制参数。仿真结果表明,基于遗传算法的在线ABSPID控制方法能有效抑制超调,控制ABS跟踪路面条件变化。     

因子分析法在评价各省市优劣势方面的应用

以全国31个省、直辖市、自治区为研究对象,用因子分析法分析了各省市的优劣势,并给出了一些地区增强自主创新能力的建议。     

态叠加原理及其在结构化学上的应用

本文对态叠加原理的物理实质进行了讨论。又重点地介绍了态叠加原理在结构化学上三个方面的应用。     

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.