基于实例推理技术的农业机械标书评价方法

针对农业机械评标决策环境复杂、难以建立通用的评价标准以及传统评标方法的不足等问题,提出一种基于实例推理的农业机械标书评价方法。重点研究了农业机械实例知识的表示和检索技术,通过对评标实例知识的表示来构造农业机械实例评标模型。采用基于相似度的实例检索算法,并通过实例的检索获得符合用户需求的最佳匹配实例,从而建立了有效的农业机械采购评标机制。     

专家系统在植保工作中的应用及其问题初探

对专家系统的基本结构及其应用方面进行了简要介绍，指出当前专家系统的开发及应用中存在的一些问题，并对其现状及发展进行了讨论。     

基于案例推理的造林专家系统的探索

以往的造林专家系统大多采用基于规则推理的方式,本文给出一种基于案例推理的造林专家系统的设计方案,介绍了知识库的设计和推理机制,并利用属性分类来处理相似度计算过程中可能出现的重要属性被屏蔽的问题.     

基于专家系统中智能答疑系统的设计与实现

文章针对远程答疑系统中存在的智能性不足、手段单一等缺点,设计并开发了一个智能答疑系统。通过深入分析远程教育的特点,提出了一个智能答疑系统结构。借助于知识推理、专家系统等技术,以及先进的开发工具实现了该系统。实际应用显示了该系统的价值。     

作物生产辅助决策专家系统模型研究

在综合运用分类分析和聚类分析等数据挖掘方法的基础上,提出一种智能农业专家系统构建模式,并给出了一种领域内数据筛选算法,以提高知识获取的自动化程度,探索部分解决基于规则推理的传统农业专家系统中知识获取的瓶颈问题。     

农业专家系统构建技术研究

介绍了农业专家系统的基本功能和基于WEB的体系结构,分析了知识库、推理机和人机接口的构建技术,并结合甘肃省优质专业春小麦生产和加工利用专家系统原型对关键开发技术和实现方法做了分析说明.     

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.     

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.     

A Uncertain Reasoning Machine

This paper firstly discusses some problem about the uncertain reasoning machine in the agricultural expert system based on HPC, such as the knowledge representation, the certainty factor, the representation of evidence uncertainty, the calculation of multi evidence uncertainty, the update of uncertainty and so on. Secondly, the control strategy of this uncertain reasoning machine is discussed. This control strategy adopts a converse reasoning strategy based on target, and it adopts a conflict removing strategy based on certainty factor. The arithmetic to realize the uncertain reasoning machine is also given in detail. At last, this paper stats the example of malnutrition diagnosing of grape as the application of the reasoning machine.     

Knowledge-based ECG Automatic Diagnosis System

This paper presents the structure of a knowledge-based ECG automaticdiagnosis system and the key technologies applied in the system. Using database technology to store, the ECG knowledge-database is constituted of ECG knowledgeand a set of rules .The inference engine of the system simulates the real diagnosis of the experts and combines the forward reasoning with inexact reasoning. At the same time, complicated reasoning is avoided. Because the inference engine is independent of what is stored in the ECG knowledge-database, the system is suitable for expert system.