An integrated method for matching forest machinery and a weight-value adjustment

Proper matching of forestry machinery is important when raising mechanization levels for forestry production. In the matching process, forestry machinery needs not only expertise, but also improved methods for solving problems. I propose combination of case-based reasoning （CBR） and rule-based reasoning （RBR） by calculating the similarity of quantitative parameters of various forestry machines in an analytical and hierarchical process. I calculated the similarity of machin-ery used in forest industries to enable better selection and matching of equipment. I propose a weight-value adjusting method based on sums of squares of deviations in which the individual parameter weights were modified in the process of application. During the process of system design, I put forward a design method knowledge base and generated a dynamic web reasoning framework to integrate the processes of forest industry machinery selection and weight-value adjustment. This enables expansion of the scope of the complete system and enhancement of the reasoning efficiency. I demonstrate the validity and practicability of this method using a practical example.     

特种车辆柴油发动机故障诊断专家系统推理机设计

针对特种车辆柴油发动机故障诊断专家系统知识表示的模糊特性，建立了故障类型的模糊诊断模型，提出了不精确推理方法和模糊匹配策略，采用柴油发动机故障类型诊断的反向推理和故障原因分析及故障消除措施正向推理相结合的混合推理机制，设计了总体目标推理和级目标推理相结合的推理机．系统现场运行的快速推理结果表明了该推理机设计是成功的．     

基于网络的鸡病防治与诊断专家系统的设计

目前中国鸡病防治中存在一些暂时无法解决的难题,如基层中鸡病诊断专家缺乏、鸡病防控不及时等。基于现状,利用计算机网络技术和人工智能技术,将SQL数据库和ASP.NET技术相结合,设计并开发了基于网络的鸡病防治与诊断专家系统。该系统将鸡病诊断和鸡病防治知识进行集成,采用基于规则的模糊化的混合推理策略,实现了鸡病诊断和防治的数字化和智能化,用户可通过网络实现鸡病诊断、鸡病防治、鸡群管理、知识查询和统计分析等功能。经验证性试验和专家评测,该系统结构合理,功能完善,可以满足广大基层用户的需求,具有一定的推广应用前景。     

Extension association analysis method for product family configuration

A product family extension configuration method based on evaluation model for customer demands, relational mapping and extension association rules is introduced to better realize rapid and effective product configuration. A demand-based evaluation model is confirmed by the information of customer demands and a mapping relationship between demand-based model and characters of product family cases is built. The similarity between evaluation model and product family cases is up to the association rules and a product family case with the highest similarity can be extracted according to association rules. According to the situation of the similarity, the extracted case is modified to meet the demands of configuration with case-based reasoning method. The method is validated by a speed reducer case.     

试论我国农业专家系统的应用及发展

本文分析我国农业专家系统应用及发展现状 ,指出存在的问题 ,认为以“3S”技术为核心 ,由数据库技术、作物模拟模型、不精确推理等组成的技术体系 ,是我国农业专家系统的发展方向     

基于不同模糊算子的模糊推理方法及效果分析

给出了基于不同模糊算子的模糊推理方法 ,简单地介绍了模糊控制器的基本结构 ,比较分析了基于不同模糊算子的模糊推理方法的推理结果和计算机控制仿真效果     

神经网络驱动性模糊推理模型及其算法

首先建立神经网络驱动性模糊推理模型 ,然后建立推理系统和算法步骤 ,最后给出预报数值数据的仿真实验     

基于事例推理的水库防洪调度决策支持系统研究

【目的】构建水库防洪调度决策支持系统,为水库洪水调度决策提供支持。【方法】将事例推理(CBR)技术应用到水库洪水调度中,建立基于CBR的水库防洪调度决策支持系统,并提出了系统关键技术的实现思路和方法。【结果】基于CBR的水库防洪调度决策支持系统的运行结果表明,系统能充分地将以往的洪水调度经验和调度模型结合起来,使调度结果更为合理、可行。【结论】所构建的系统具有较强的实用性,可以满足水库防洪调度决策的需要。     

洪泽县主要作物施肥动态及对策

通过调查10年来洪泽县小麦、油菜和水稻3种主要作物的施肥动态，寻求提高3种作物生产水平的合理施肥结构和用量。     

生活经验与工作记忆容量对条件推理的影响

选取5种条件命题的4种推理形式作为实验材料,采用经典的OSPAN任务测得被试的工作记忆容量,考察了生活经验与工作记忆容量对条件推理的影响.研究表明:生活经验会决定问题空间的表征,从而影响条件推理过程;工作记忆容量对条件推理没有影响;生活经验和工作记忆容量没有交互作用.此外,研究还表明在条件推理中,人们倾向于使用启发式策略,较少用到分析式策略.