Uncertain reasoning model for the rocket safety decision system

In view of the complexity of the measuring environment and uncertainty of the a prior knowledge for rocket aviation,a rocket safety control system based on uncertainty reasoning is proposed.The uncertain representation and processing of the knowledge in expert systems are established according to the characteristics of the parameters .Following the characteristics of the decision rules and decision procudure,the reasoning control strategy is studied and the method for conflict resolving strategy and searching strategy is proposed.Then,the uncertain matching rules and the feasibility degree delivering method are expressed,and the decision-making network and the rule-based uncertainty reseaoning model were constructed.Simulation experiments show that this system can acquire the craft launching information quickly and accurately,which greatly improves the reliability and authenticity of safety control decision for rocket aviation,and can control the rocket aviating state effectively.     

基于PAID的荔枝农业专家系统的开发研究

将计算机网络信息、人工智能、多媒体等技术与农业技术结合起来,研究开发出基于PAID开发平台的荔枝农业专家系统,并根据本地的具体实际进行了软件资源的二次开发,降低了客户端的专业要求,实现了人机操作界面直观、明了。该系统的推广应用,有效地解决了目前中国荔枝生产中普遍存在专家型农业科技人员短缺的问题,为农业科技咨询服务提供了新途径,有利于先进农业技术的普及和推广应用。介绍了荔枝农业专家系统目标、系统结构、系统内容、系统实现及应用示范情况。     

An New Hybrid Model of Qualitative Diagnostic Reasoning

Two main approaches are used in qualitative diagnostic reasoning.These approaches are the first principle approach and the heuristic knowledge approach.Systems based on the first one can handle hard problems and new situation.On the other hand,systems based on the second perform diagnostic tasks faster but can deal only with the most common problem cases.This paper provides a model using both the deep and shallow knowledges, and presents some algorithms.     

Representation of Uncertain Area in Image Based on Cloud-model

Aiming at the problem of representation of regions in the process of image processing, the paper presents a method applied to representation of spatial uncertain area in image based on Cloud-model. In two-dimension universe of discourse of image, the linguistic term of the polygons, which have uncertain edge, can be accomplished by relaxation iteration. The linguistic term of the polygons can be considered Cloud-core of Cloud-model. Based on the characteristics of pixels of transition region of fuzzy edge, Object-clouds of polygons can be constructed by Backward-cloud-generator. So Object-cloud can be representation model of spatial uncertain area and spatial uncertain area in image can be represented by digital characteristics of Object-cloud. Experiments testify the method. It enriches the cloud theory, and proposes a new idea for image comprehending and analyzing, especially remote sensing image.     

Optimize graphics reasoning technlogy and its application on sheep diseases curing expert system

Expert system is a program system that prossesses special knowledge and esperience, is reasoning solving process which simulates experts according to special konwledge and espericence with artificial intelligence. This paper discusses the decision-making technology and method of expert system based diagram reasoning, the optimized diagram reasoning is also pointed out. The development technology and method of sheep diseases curing system is expatiated.     

Application of Uncertain Model in Urban River Quality Simulation

Owing to the fluctuation of water quality in urban river which polluted by drainage along river, one-dimension uncertain water quality model embeded neural network is established. Genetic algorithms and a modified fitness function are used to optimize parameters of the uncertain model. Examples illustrate that the uncertain model has higher prediction accuracy with the average accuracy over 80% than the certain model, and is more sensitive to the fluctuation of pollutants discharged into the river. The uncertain model has a significant advantage of prediction and could better adapt to the changing urban water environment, especially at points close to the pollution sources.     

Study on the Price-estimation of the Land-rental with Case-based Reasoning System

In this paper the theory of Fuzzy Mathematics is used to set up the case-based reasoning(CBR) mathematic model system on the price-estimation of the land-rental and the related process and conditions of its application are suggested.The calculation example of CBR in land business demonstrates that the CBR model is effective;it can be used as the reference for the decision-making on estimating the price in land business.     

山西草地螟发生预测模糊近似推理模型

模糊近似推理方法是模糊集理论应用前景十分广泛的一种方法.我们用此法为山西草地螟发生预测建立了一个模糊近似推理模型,初步试用效果满意.本文在模型的预报输出中引用了特征展开近似推理方法,大幅度地简化了运算过程;并且使得模型可以带入较多的因素.     

Knowledge Representation for Rotative Machine Fault Diagnosis Based on Semantic Net

Aiming at knowledge representation problem of expert system for rotary machinery fault diagnosis, semantic net knowledge representation is discussed. Semantic net to represent expert knowledge of rotary machinery fault diagnosis is explored. Its realizing method is afforded in computer language, in addition, demostrating model is also developed in Visual C++. The result shows good validity of the knowledge representation.     

A Vovel Constracture of Combinatorial Knowledge Base for the Expert System of Eletrical Switching

By comparing the techniges of the production and the logic predicate for knowledge representation, this paper presents a kind of constructure of combinatorial knowledge base applied to the expert system for switch operation in electric power system . This constructure of knowledge base to be expanded and revised easily,and it is cinvenitnt to build the general shell of the expert system.     

Constant Temperature Control System for Gas Water Heater Based on Fuzzy Reasoning Arithmetic

Basing on Fuzzy reasoning technology, this paper introduces the work flow of Gas water heater, and the trait of papilionaceous valve. It also describes the designing process of Fuzzy controller, its theory and the method of making parameter. The experiment results show that this temperature control system has better characteristics such as high- precision, good dynamic performance, excellent control effect, and so on. The design shows its validity and practicability.     

Discussion on Some Problems of ExpertSystem for Rock Mass Classification

On the basis of discussing present situation for classification of rock masses and necessity of building expert system of rock masses.The intelligent design software for classification of rock masses CRES has been completed. In this paper the CRES is expounded systematically in the following,such as knowledge_base,data_base,reasoning machine,learning machine,and so on.Finally,the CRES is used for verifying 30 engineering examples and is used to classify rock masses of two roadways successfully .The CRES has been connected to SBSDES.     

基于微信公众平台的枣树病虫害专家诊断系统开发

为快速传播并普及枣树病虫害知识,使用农业专家系统提高枣树病虫害诊断及管理效率,基于微信服务号公众平台,采用php脚本语言及mysql数据库开发出枣树病虫害专家诊断系统"JujubaExpert2020".该系统包括病虫诊断、栽培历史及枣树资讯3个功能模块,核心功能为枣树主要病虫害数据库和专家诊断论坛.用户可以通过关键字...     

A Kind of Directing Operation Expert Systems Based on Self-adaptive Predictor

In the general directing-operation expert systems.the information of directingoperation is often shown after the subprocess has finished,The aim of the thesis is to enhance thefunction of directing-operation,and suggest that we add the self-tuning predictor in the expertsystems and use it to direct the present operation.We have shown the case oftemperature-predicting experiment made in the small wine distillatorv so that we can illustrate thatit is feasible to use the predictor to direct the operation.     

A Real-time Expert System Based on Adaptive Predication of Process State

The combination of the measured real time state acquisition from the process with predictive process for the fature state is used to predicate the variable tendency for process state. This method is useful to avoid delay and enhance real time ability of the control information of the expert system. Also a described knowledge and structure of real time process state are proposed. This system can be applied to other kind of practice systems with slow time variable, uncertainty and delay.     

Reasoning Method Based on Motorcycle Design

According to the needs of setting up a professional system based on motorcycle design,the CBR(case based reasoning) and RBR(rule based reasoning) methods are introduced.After discussing the difference between the two kinds of reasoning,a method of integrating them into the motorcycle design flow is put forward to realize the design reusable technology and improve the design efficiency,by using the CBR in the step of selecting the similar motorcycle and the RBR in project's modification according to correlative rules.     

A Practical Expert System for Plant of Tomato

Research for expert system of tomato planting, it intents to set up a all around expert decision system combining agriculture knowledge, scientific research production and practical experience with computer technology. This system makes the best of the modern multimedia computer technology, which gathers words, sound and image .It provides visual, intuitive,scientific and convenient environment using. Moreover, it employs theories of Artificial Neural Network and Expert System, combines experience of experts in tomato's field and simulates agricultural experts to guide farmers to plant tomato.     

嵌入式Linux系统在粮库中的应用

近年来，随着嵌入式计算机技术的飞速发展，嵌入式系统得到了越来越广泛的应用，尤其是在工控、仿真、数据采集等领域。嵌入式系统需要嵌入式操作系统作支持，而由于Linux操作系统结构清晰，源代码开放性等方面的优势，在嵌入式系统中也得到了广泛的应用。本文以中央储备粮赤壁直属库管理监控系统的设计为背景，论述了基于Linux的嵌入式工作站取代传统的工控机为主的现地控制单元在粮库管理监控系统中的应用过程以及基于Linux的嵌入式工作站的设计。     

Study on the Method of Intelligence Fault Diagnosis System for Drill

It is very difficult to simulate the motion process of drill by accurate mathematics model for the complexity and invisibility of stratum. The fault of drill is usually identified and disposed by personal experience so far. This means it can not estimate the trend of the equipment running good or not and the reason conduced the fault or location and degree of fault by data measured. Farther, it can not give the expert suggestions. Based on the studying of drill fault, artificial intelligence and expert system have been used in the petroleum drilling engineering, the theory and method of fault diagnosis intelligence system for drill have been studied. It also constitutes the expert knowledge database of graphic Fuzzy Neural Network for the familiar fault of drill. The intelligence reasoning machine which consists of expert rule, Fuzzy logic and artificial Neural Network have been bring forward. And the fault diagnosis system it makes for drill can be applied in complex system which includes multi-variable, multi-parameter and multi-process.     

蔬菜施肥专家系统

报道了研制蔬菜施肥专家系统的专业依据、技术路线以及主要功能和应用方法。该产品能有效调控菜田养分收支平衡和氮、磷、钾养分比例,通过发布光盘或网上咨询可广泛推广蔬菜施肥技术及成果。