IPA模型对Hopfield模型神经网络的改进

考虑Ｈｏｐｆｉｅｌｄ模型中假态之间的布尔逻辑关系，提出利用ＩＰＡ模型对神经网络中的假态进行抑制，并和原网络的性能进行了比较，结果表明：改进后的网络性能比Ｈｏｐｆｉｅｌｄ模型和ＩＰＡ模型均有较大提高。     

Cu－Zn－Al合金中贝氏体的有序性

本文用Ｘ射线研究了Ｃｕ－２０Ｚｎ－６Ａｌ（ｗｔ％）合金中贝氏体结构的有序性，并与马氏体结构进行了比较，实验表明，从高温Ｂ２母相和低温Ｌ２１母相生成的贝氏体中（１１５）和（２０５）衍射峰或（１２１０）和（２０１０）衍射峰是重叠的，对生成的贝氏体进行一段时间的保温或缓慢冷却处理，其衍射峰的特征并不改变，这与马氏体（１１５）和（２０５）衍射峰或（１２１０）和（２０１０）衍射峰的分离特性不相符合。说明贝氏体结构有序度与马氏体明显不同，它的形成不可能继承母相的有序度。     

SUN工作站生产测井解释系统（PLASYS）

吕永军,胡亚兵,毕卓新.SUN 工作站生产测井解释系统(PLASYS).测井技术,1993;17(2):114～120Sun 工作站生产测井解释系统,是以 SUN GKS 为基本软环境支持,在 SUN 工作站上开发完成的一套生产测井资料解释与处理系统。本文详细叙述了该系统的构成、解释原理、输入输出等,并通过实例说明了该系统的解释结果。     

FINITE ELEMENT ANALYSIS OF THE FLOW INDUCED BY ROTATING BLADES IN AN INCOMPRESSIBLE VISCOUS FLUID

Aerodynamic loads on a multi-bladed helicopter rotor in hovering flight were calculated by solving the three-dimensional incompressible Navier-Stokes equations. The rotor wake effects were accounted by the correction of local geometric angle of attack according to a free-wake modeling in addition to an empirical modification for the tip flow effect. The validity and efficiency of the present method were verified by the comparisons between numerical results and experimental data.     

硝酸铵的膨化机理研究

膨化硝酸铵是一种自敏化改性硝酸铵,由硝酸铵溶液在专用表面活性剂作用下,经真空强制析晶工艺制得.文中研究了膨化硝酸铵制备的膨化过程和专用表面活性剂的作用,结果表明:在真空和表面活性剂作用下,硝酸铵溶液由不饱和状态至饱和状态,进而达到过饱和状态,最终导致硝酸铵的快速结晶和体系的膨胀.在真空干燥过程中,形成中心空穴、微细孔道和裂缝,它们使膨化硝酸铵的起爆感度提高;专用表面活性剂具有降低硝酸铵溶液表面张力、发泡剂和加快结晶成核的作用.     

关于Vague集的模糊熵及其构造

本文分析了Vague集的性质,给出了将Vague集变换为Fuzzy集的转换函数,并讨论了其性质。分析了关于Vague集的模糊熵的直观特性,在此基础上我们给出了Vague集的模糊熵的定义。最后给出了一个关于Vague集的模糊熵的构造方法。     

Process characterization and optimization based on censored datafrom highly fractionated experiments

Censored data resulting from life-test of durable products, coupled with complicated structures of screening experiments, makes process characterization very difficult. Existing methods can be inadequate for modeling such data because important effects and factor levels might be identified wrongly. This article presents an expectation-modeling-maximization (EMM) algorithm, where censored data are imputed as pseudo-complete samples and a forward regression is used to compare all main effects and 2-factor interactions for process characterization. Then, the best combination of controllable variables is determined in order to optimize predictions from the final model. A sensitivity study of the selected models, with changes of imputation and parameter estimation methods, shows the importance of using appropriate models and estimation methods in EMM. The author's analysis of the Specht (1985) heat-exchanger life-test data indicates that E, EG, EH in the wall data and A, K, D, DJ in the corner data are the dominating factors. However, in finding the best process recipe, one might use a model with a few additional terms, which leads to more accurate predictions for better process optimization