应用图论及广义简约梯度法进行压力管网优化设计

广义简约梯度法(GRG)是非线性规划算法中最有效的算法之一，本文把图论应用于广义简约梯度法优化的过程中，使输入简便，计算简化，应用GRG算法对武汉市的汉阳管网进行了模拟优化设计，并对管段的计算管径用线性规划法进行标准化，取得了满意的结果     

测井数据实时采集与接口设计

介绍了一种采用改进型的ＣＬＳ３７００数控测井系统对微电阻率扫描仪数据采集与控制接口的设计及实现方法。基于ＣＬＳ３７００数控测井仪和ＦＭＳ仪采用８９Ｃ５１单片机设计出通信接口，解决了微电阻率方法。基于ＣＬＳ３７００数控测井仪和ＦＭＳ仪采用８９Ｃ５１单片机设备出通信接口电路，解决了微电阻主扫描仪现现场实时处理中的瓶颈问题。     

论计算机通信网络的开放性

本文从开放性原理出发，描述了计算机通信网络系统开放性体系的思想及其实现技术。     

Verification of wind resource study of a Scottish region

In a survey of the practical wind energy resource present in the Tayside Region of Scotland it was estimated that over 1500 km² of land is suitable for wind energy development in the Region after consideration of a range of physical, technical and institutional factors. Wind speed data for this survey was obtained from the Energy Technology Support Unit (ETSU) UK Wind Speed Data Package. To verify the wind speeds obtained from the ETSU package a representative sample of sites in and around the identified areas of potential in Tayside were modelled for mean annual wind speed using the Wind Atlas Analysis and Application Program (WA^sP). The wind speeds for the sites obtained from the WA^sP analysis were compared with those obtained from the ETSU UK Wind Speed Data Package and conclusions drawn as to the reliability of the Tayside wind energy survey and the general applicability of the ETSU package for broad wind energy resource assessment.     

一种自制硬件诊断磁带的方法

牛哲成．一种自制硬件诊断磁带的方法．测并技术，１９９４，１８（２）：１４９～１５４硬件诊断磁带是由用于对计算机硬件系统各组成部分进行功能检查、状态测试和故障检测的诊断测试程序集构成的一种专用工具磁带。本文提出了一种用户在ＰＥ３２００系列计算机裸机环境下自己制作硬件诊断磁带的方法，井涉及到具体的程序实现。用该方法制作的硬件诊断磁带操作简单。对进一步搞好ＰＥ３２００系列计算机的维护，开发完善ＰＥ３２００系列计算机硬件诊断系统具有实际意义。     

非串行生产线的建模,分析及设计

本文利用等效工作站理论和工件流平衡原理，推导出非串行离散事件生产线可以等价于串联系统，并归结为装配和拆卸两条定理，解决了系统的建模、分析与设计问题。     

转炉炼钢静态模型的初步探讨

根据转炉炼钢的物理化学反应机理，从质量平衡和能量平衡的计算出发，通过小参数变动，导出了增量式静态模型中矿石方程和供氧方程的系数。所得结论与新日铁资料基本相符。同时，还进行了炉料和产物的计算，分析了改变废钢比对生产的影响。     

Melt index prediction by weighted least squares support vector machines

Melt index is considered an important quality variable determining product specifications. Reliable prediction of melt index (MI) is crucial in quality control of practical propylene polymerization processes. In this paper a least squares support vector machines (LS‐SVM) soft‐sensor model of propylene polymerization process is developed to infer the MI of polypropylene from other process variables. Considering the use of a SSE cost function without regularization might lead to less robust estimates; the weighted least squares support vector machines (weighted LS‐SVM) approach of propylene polymerization process is further proposed to obtain a robust estimation of melt index. The performance of standard SVM model is taken as a basis of comparison. A detailed comparison research among the standard SVM, LS‐SVM, and weighted LS‐SVM models is carried out. The research results confirm the effectiveness of the presented methods. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 101: 285–289, 2006