平面近场测试系统在天线测试和诊断中的应用

介绍了天线近场测量的基本原理和HD-1型平面近场测试系统,并对近场测量在实际天线测试中的应用情况、发展方向和应用前景等作了简单的描述。     

预付费用户实现短消息业务的关键技术分析

介绍了目前国内移动智能网系统和短消息系统的现状 ,在此基础上提出了基于移动智能网的预付费用户实现短消息业务的 3种解决方案 ,对各方案进行了分析和比较。最后 ,介绍了CMIN0 2移动智能网系统中预付费短消息业务的实现。     

基于一类T-模的模糊Hopfield网络的稳定性分析

本文建立了基于一类T-模的一种动态模糊神经网络-(∨,T)Hopfield网.文章首先证明了系统本身的稳定性及系统平衡态的Lyapunov稳定性,然后建立了吸引子的一个非平凡吸引域,使系统具有良好的容错性.最后,通过例子验证了得到的结论.     

东濮凹陷马寨滑脱断层的形成机制及地质意义

滑脱断层作为一种独特的地质现象，在国内外含油气盆地中都有发现，本文运用钻井，区域地质等资料，对东濮凹陷马寨滑脱断层的形成机制及其地质意义进行了研究，结果认为：形成滑脱断层需具备斜坡，塑性岩体和区域构造应力场3个基本条件，滑脱断层面之下油气富集程度较高，之上较差，马寨滑脱断层的发现，。不仅丰富和发展了地质构造理论，而且加深了对东濮凹陷石油地质规律的认识。     

采用BP神经网络记忆模糊规则的控制

本文提供了一种比模糊推理更为自然的方式使用人们的经验知识,通过一组神经元不同 程度的兴奋表达一个抽象的概念值,由此将抽象的经验规则转化成多层神经网络的输入一输 出样本.通过Back-Propagation学习算法使得网络记忆这些样本.控制器以"联想记忆"方 式使用这些经验.本文介绍了控制器的构造方法,给出了控制仿真结果,并讨论了这种控制器 的特点和发展前途.     

基于织疵分析与管理专家系统的探讨

为了及时分析和有效控制织物的疵点,采用VFP 6.0建立了织疵分析与管理专家系统,介绍了系统的总体结构和数据存储形式、推理机制等内容。该系统能实现各种质量指标的统计与分析,对产生率高的疵点进行产生原因的诊断、推理,得出消除疵点的方法,并能准确地确定疵点的评分。结果表明,该系统通过在某工厂的实验,疵点的推断准确率为95%以上,节省疵点的分析时间三分之二,提高下机一等品率5%~10%。     

柴达木盆地断裂系统特征与油气勘探战略方向

基底断裂格局决定了盆地构造演化和沉积发育,导致了北缘、中部和昆北3个各具特色的断裂构造系统。北缘断裂构造系统平面上以反S展布、剖面上以一系列北倾南冲的逆冲断层带及其所控制的同沉积构造呈阶梯向南下掉为特点,受北部祁连山构造应力系统的作用;南部昆北断裂构造系统发育压陷断槽和断阶带,受南部昆仑山构造应力系统的作用;中部断裂构造系统以两断夹一隆的冲起构造为特色,同时受祁连山和昆仑山构造应力的共同作用。断裂对油气藏的形成和分布有重要的控制作用,表现在对烃源岩、储集条件、圈闭形成及油气运聚等方面。依据断裂控烃特征并针对柴达木盆地的具体情况,柴达木盆地油气勘探应迅速转移到盆地腹地即中部断裂构造系统区,尤其是鄂博梁Ⅱ号一伊克雅乌汝、鸭湖—台吉乃尔构造带和中南隆起区,有望取得重大突破。      

同成矿期构造减压扩容对内生金矿的控制作用

从同成矿期断裂构造与金矿的关系入手，分析了不同断裂构造形迹的减压扩容机制对金矿类型，矿体形态，矿石品位的控制作用，对寻找盲矿体具有借鉴和指导意义。     

An analog circuit design environment based on cooperating blackboard systems

A novel approach to design automation for analog circuits is presented. The prototype implementation-OASE-has been realized as a set of cooperating expert systems with blackboard architecture. The circuit specific knowledge bases use hybrid representation schemes and are strictly separated from an execution engine containing the necessary control knowledge. This alleviates the knowledge acquisition process as well as the extension and maintenance of existing knowledge. OASE has been developed as a design assistant, featuring different levels of interactivity, a hierarchical design style and fully embedded algorithmic standard tools. In its current version it is able to design a broad range of different CMOS operational amplifiers.     

Revising deductive knowledge and stereotypical knowledge in a student model

A user/student model must be revised when new information about the user/student is obtained. But a sophisticated user/student model is a complex structure that contains different types of knowledge. Different techniques may be needed for revising different types of knowledge. This paper presents a student model maintenance system (SMMS) which deals with revision of two important types of knowledge in student models: deductive knowledge and stereotypical knowledge. In the SMMS, deductive knowledge is represented by justified beliefs. Its revision is accomplished by a combination of techniques involving reason maintenance and formal diagnosis. Stereotypical knowledge is represented in the Default Package Network (DPN). The DPN is a knowledge partitioning hierarchy in which each node contains concepts in a sub-domain. Revision of stereotypical knowledge is realized by propagating new information through the DPN to change default packages (stereotypes) of the nodes in the DPN. A revision of deductive knowledge may trigger a revision of stereotypical knowledge, which results in a desirable student model in which the two types of knowledge exist harmoniously.