人工神经网络在柑橘生产专家系统中的应用*

研究结合三峡库区柑橘产业化需求,采用人工神经网络技术与专家系统相集成的方法,设计并研制了一个知识面较为完整的网络化柑橘生产专家系统。该系统能同时满足柑橘生产者和管理者的信息需求,可应用于柑橘生产技术普及和直接指导柑橘生产管理。设计采用了神经网络原理,合理组织知识、模拟人脑思维过程,其推理机制比产生式推理优越。以柑橘营养诊断作为实例,详细介绍了基于人工神经网络的专家系统的总体结构和实现方法。     

面向对象的压铸模专家系统的开发研究

本文探讨了用面向对象方法开发专家系统的实现意义,并将此方法贯穿于整个压铸模设计专家系统的开发中,文中详细地介绍了此专家系统的总体结构、对象管理器、领域知识库等的设计以及数据库和知识结合的实现方法。     

基于虚拟仪器技术的故障诊断专家系统的实现

随着计算机技术的发展,智能技术在测试领域显得越来越重要,在传统的测试系统中使用专家系统技术成为测试系统的发展趋势;文章通过对专家系统原理的介绍,提出了将专家系统技术引入测试领域的可行性,并分别介绍了基于虚拟仪器的测试系统软件设计方法和基于规则的专家系统软件设计方法,并给出了故障诊断专家系统的实现方法和实时故障专家系统的设计方案;经使用后,认为专家系统技术将有助于智能化故障诊断的实现,并且可提高测试技术的智能化程度。     

圆柱齿轮减速器设计专家系统(CGREST)的开发

专家系统是一种计算机软件编制技术,主要用于模拟人类专家解决专门问题。本文介绍的圆柱齿轮减速器设计专家系统(简称OGREST)是利用人工智能、专家系统技术开发的一个实用型的设计专家系统,是国家“七五”规划重型机械基础件CAD的一个子项目。本文对专家系统技术在圆柱齿轮减速器设计中的应用理论和实用技术进行了探讨和研究。在设计思想、实现策略、知识采集、知识描述、知识运行、机械绘图以及在模拟人类设计专家的思维等诸方面,进行了新的尝试,并取得了令人满意的结果。     

产生式规则专家系统

本文简要介绍了产生式规则专家系统的基本结构,详细介绍了知识库设计的基本思想和推理机设计的基本思想,该方法构造的专家系统具有较强通用性,可直接移植到其他专业专家系统中.     

基于神经网络的储层敏感性评价专家系统

本文介绍了利用神经网络技术对储层敏感性评价专家系统的设计及实现。该专家系统在知识获取和推理控制策略方面优越于传统的专家系统。     

专家系统开发工具的现状及展望

综述专家系统开发工具现状,介绍人工智能程序设计语言和专家系统外壳,展望智能型专家系统今后发展方向.     

TBM故障诊断专家系统的设计与实现

针对TBM建立了一个故障诊断专家系统,介绍了系统结构设计、功能划分及其实现方案,详细论述了专家系统中基于主语、谓语和宾语来描述事实的知识表示方法。     

基于物联网的苹果树病虫防治专家系统的设计与应用

提出一种基于物联网技术的专家系统结构,并以苹果树病虫防治专家系统为例,介绍专家系统的设计方法,以及物联网技术在专家系统中的应用和管理.     

基于神经网络的储层敏感性评价专家系统

本文介绍了利用神经网络技术对储层敏感性评价专家系统的设计及实现。该专家系统在知识获取和推理控制策略方面优越于传统的专家系统。     

蜜桔种植专家系统的设计与实现

介绍使用CLIPS工具开发蜜桔种植专家系统。该专家系统具有图片、影像等多媒体推理能力。核心组件包括知识库、规则表、推理机。推理机采用软件虚拟机的方式运行。该系统能够提高蜜桔的产量和减少病虫害的发生,对农业现代化具有积极意义。     

基于Web的烟草专家系统的设计与实现

以专家系统基本原理为基础，将烟草种植理论和实用技术、计算机网络技术进行了系统集成，构建了Internet环境下的烟草生产专家系统。洋细地介绍了该专家系统的软硬件环境和实现方法，包括专家系统总体结构、知识点的划分、知识库和推理规则库的建立、推理机的设计和表现形式等内容。     

基于构件的农业专家系统

描述了一种农业专家系统构件化方法，它根据水稻栽培知识的特点，采用面向对象方法，设计了一个具有多种知识对象的，构件化的推是机的农业专家系统。     

保护地甜辣椒栽培管理专家系统的研究与开发

保护地蔬菜栽培管理专家系统是农业专家系统的一个新的研究和应用领域。文章以正在开发的保护地甜辣椒栽培管理专家系统为例,重点讨论了该系统的总体结构、主要功能及实现技术。     

Development of an expert system for optimizing natural gas pipeline operations

This paper presents an expert system as a decision support tool to optimize natural gas pipeline operations. A natural gas pipeline control system is a controlling system that involves many complicated operating processes. Since a dispatcher (who operates the system) might not be able to handle all of his or her tasks consistently, an expert system has been developed for optimizing the operations by providing consistent, fast and reliable decision support to the dispatcher. Consequently, inconsistency in the dispatcher's performance can be minimized. To build an expert system, the knowledge from an experienced dispatcher, who is familiar with the process in this controlling system is acquired and that knowledge has been implemented as rules in the knowledge base of the expert system. When this expert system has been validated by gas pipeline experts, it can help inexperienced dispatchers to operate the processes more effectively. The expert system is implemented on the real-time expert system shell G2 (trademark of Gensym Corp. of USA). The system also consists of a user interface that helps dispatchers visualize system conditions.     

基于MVC模式的桥梁处治专家系统研究

专家系统(Expert system简称ES)是模拟人类专家解决问题的智能程序系统。专家系统的主要特征是有一个巨大的知识库,存储着某个专门领域的知识。在解决问题时,用户为系统提供一些已知数据,然后从系统中获得专家水平的结论[1-2]。目前专家系统已经应用到生活中的各个方面,本文着重研究了专家系统在在役桥梁中的应用,并且给出了模型建立方法、系统设计以及专家系统软件的设计流程[3]。最后将该系统应用到具体的实例中,实验证明在役桥梁专家决策系统具有良好的效果[4]。     

Set-covering diagnostic expert system for psychiatric disorders: the third world context

This paper presents an implementation of the set-covering model for diagnosing psychiatric disorders. Such a model is useful as the basis for the inference mechanism of an expert system in that it provides a satisfactory solution to the difficult problem of multiple simultaneous disorders. The set covers have been formed through the 'diagonal search method' in which the combination of an element with the rest of the elements along the diagonals in the combination matrix was found to be adequate. 'Abductive logic' has been used to reach the possible final solution. Another feature of this expert system is its elicitation system. Provision has been made in the expert system for observations to be made and questions to be asked of the patient in difficult-to-elicit psychiatric signs. It makes this expert system usable by the non-expert clinicians. This has been specially designed in the context of third-world conditions. The system has been tested on cases given in the DSM-III case book with 100% success. However, the system's knowledge should be expanded and refined if it is to be used in psychiatric clinical practice.     

面向对象的农业专家系统建模与实现

农业专家系统是将计算机应用于农业领域的热点之一。文中将面向对象建模技术应用于“淮河流域冬小麦种植管理咨询专家系统”的建设过程。利用建模语言UML描述的静态模型和动态模型阐述了该系统的体系结构、功能职责以及运行情况。由于引入了标准建模技术，系统开发得以在开发工具的辅助下高效完成。     

An expert system approach to fault diagnosis in hydraulic systems

Abstract: Increased interest in problem-solving decisions in the area of engineering leads to an increased demand for expert system applications. This paper presents an expert system that detects faults in hydraulic systems by simulating the reasoning of the expert, using as guide the hydraulic circuit of the system on the screen and extensive graphical information. A graphical user interface, appropriate explanations by using hypertext and user modelling have been implemented in order to produce a system that overcomes the usual interface problems of expert systems in engineering.
This system has been developed in close collaboration with the company Automation Systems SA (Mannesmann Rexroth — Greece) and is currently used to detect faults in hydraulic presses, a fact that presents evidence of its usefulness.     

Expert systems in manufacturing: Promises and perils

Expert systems play a key role as a tool to enhance productivity, improve quality, increase profits and capture expertise in many business and industrial environments. Although the potential of expert systems is well-understood, it has been a challenging, and often elusive, task to make an expert system operational in the “real-world” environment. One of the major reasons why many expert systems fail to be integrated into the operational environment is a lack of knowledge and techniques on how to test an expert system. The implications of an inadequately-tested expert system in a manufacturing environment are serious. In this paper, we take a look at the many applications of expert systems in manufacturing and utilize a three-pronged approach to develop robust and reliable expert systems.