生长曲线模型中的联合影响分析

本文讨论了生长曲线模型中多组数据对回归分析的联合影响问题,给出了度量准则及其化简式与统计解释,推广了已有文献中的有关结果.     

微量分析系统测定微量全血中的锌、铁、钙

提出了一种用微量分析系统测定微量全血中的锌、铁、钙的分析方法 ,该系统是利用软件来记录吸光度随时间的变化率 ,即导数原子吸收值来提高原子吸收分析灵敏度的一种新技术 .该方法灵敏度高 ,检出限低 ,重视性好 ,直接用于测定微量全血中的微量元素 ,结果满意     

The Extraction Method of Cutting Engagement in Ball-end Milling Simulation

Ball-end mill is widely used in workpiece processi ng with free-form surfaces. Such models that can predict processing character istics precisely are very necessary to the aim of cost reducing, quality improvi ng and productivity progressing, the cutting force prediction is the most import ant among these models. To explore the physical essence of metal cutting, model researchers commonly simplify the geometric conditions in cutting process, and a ssume that the geometric parameters that are needed to s...     

Accurate forecasting of the undecided population in a public opinion poll

The problem of pollsters is addressed which is to forecast accurately the final answers of the undecided respondents to the primary question in a public opinion poll. The task is viewed as a pattern‐recognition problem of correlating the answers of the respondents to the peripheral questions in the survey with their primary answers. The underlying pattern is determined with a supervised artificial neural network that is trained using the peripheral answers of the decided respondents whose primary answers are also known. With peripheral answers as inputs, the trained network outputs the most probable primary response of an undecided respondent. For a poll conducted to determine the approval rating of the (former) Philippine president, J. E. Estrada in December 1999 and March 2000, the trained network predicted with a 95% success rate the direct responses of a test population that consists of 24.57% of the decided population who were excluded in the network training set. For the undecided population (22.67% of December respondents; 23.67% of March respondents), the network predicted a final response distribution that is consistent with the approval/disapproval ratio of the decided population. Copyright © 2002 John Wiley & Sons, Ltd.     

高层体系结构系统实施技术的初步实践与进一步研究

为满足分布仿真系统对开放性，重用性，可扩展性与面向应用上的需求，基于HLA标准开发或改造已有的仿真系统已成为当今分布式仿真系统实施的一个热点，本文将分析，介绍一个HLA系统应用实施的典型案例，并基于作者的初步实践，进一步探讨基于HLA标准的分布式仿真系统的实施技术。     

影响牦牛初生重因素的系统分析

分析了影响牦牛初生重的六个因素和众多因子，母牦牛的产犊季节、牦牛的胎次、犊牛的性别对牦牛初生重影响最大；母牛的年龄、营养情况对初生重影响次之；放牧管理水平对初生重影响最小。     

Using Oil Analysis to Study the Wear Condition of Bearing in Trunnion of Convertor During/After Run-in Period

1Introduction Convertorisoneofthemainequipmentofsteel making.Thebearingsinthetrunnionofconvertorarecharacterizedby low speed,heavy loadandhuge dimension.Theyrevolve slowlywhenmoltensteelisaddedoremptied.Theirlife expectancyis20years.Incasetheyexperiencefailurein operation,theoutputoftheconvertorandeventhatofthe wholeproductlinewouldbeaffectedandhugelosswouldbe resultedin.Therefore,itisveryimportanttomasterthe workingconditionsofthebearings.Vibrationandoilanalyses aretwomaintechniquestomonito…     

Decision trees for forecasting

Recent years have seen an increasing cross-fertilization between the fields of decision analysis and forecasting. Decision-analytic models often require forecasts as inputs, and aspects of the Bayesian decision-theoretic framework underlying decision analysis have proved useful to forecasting, particularly in contexts where subjective judgemental inputs are required. This paper describes the use of decision tree analysis for forecasting and illustrates its use for corporate divisional forecasting and planning. A specialized decision-analytic technique, acts as events, is also described and illustrated to forecast a new product's earnings. Conclusions are drawn about the applicability of decision analysis for forecasting.     

在线固溶条件下的输出辊道受热分析

为满足300系列奥氏体不锈钢轧后在线目溶处理的要求，针对某厂已有设备条件，进行在线固溶处理输出辊道的改造，利用ANSYS有限元分析软件，通过对不同结构和材质条件下输出辊道的受热分析，为输出辊道的改造提供了理论依据。结果表明，将原有的铸铁辊道改为陶瓷辊道能够满足生产的要求。     

地震参数综合处理方法在储层横向预测中的应用

建立了一套计算机上可实现的地震参数综合研究的算法和程序,将地震参数综合处理方法变为计算机处理过程,再将地球物理数据转换为地质解释语言.从现有的模式识别或统计分析方法中,选用了输出能量最大准则滤波的综合参数法和标准样本学习的判别分析法进行储层岩性预测.尽管综合参数或判别函数本身已失去了各个参数原有的明确的物理意义,但它却代表了多参数共同性的变化,较可靠地反映出产生这些变化的地质因素.