| 网络版蚕病诊断与防治专家系统设计 |
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| 引用本文： | 贡成良,石丹平,薛仁宇,曹广力.网络版蚕病诊断与防治专家系统设计[J].蚕业科学,2009,35(1). |
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| 作者姓名： | 贡成良 石丹平 薛仁宇 曹广力 |
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| 作者单位： | 苏州大学蚕桑研究所,江苏,苏州,215123;中国农业银行苏州分行,江苏,苏州,215011 |
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| 基金项目： | 公益性行业(农业)科研专项 |
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| 摘 要： | 为普及家蚕病害的基础知识,辅助提高蚕病诊断的准确率和蚕病防治技术水平,采用微软成熟的IIS+ASP+ACCESS技术建立了基于Internet的包含19种主要家蚕病害在内的诊断与防治专家系统(http:∥211.90.162.131:8099/)。该系统包括蚕病基本知识、识别与诊断知识、发病规律与防治知识、辅助诊断系统以及咨询与影像系统。计算机模糊判断法是辅助诊断系统的核心模块,该模块通过将专家经验转化为可供计算的模式概率值,建立数据库,即可从已知的病征(事实、证据)出发,采用模糊产生式诊断规则给出模糊断言的最大值作为诊断结果,并自动提出相应的防治措施。
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| 关 键 词： | 家蚕病害 诊断 防治 专家系统 计算机网络 |
Development of a Network Expert System for Diagnosis and Control of Silkworm Diseases |
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| GONG Cheng-Liang,SHI Dan-Ping,XUE Ren-Yu,CAO Guang-Li.Development of a Network Expert System for Diagnosis and Control of Silkworm Diseases[J].Acta Sericologica Sinica,2009,35(1). |
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| Authors: | GONG Cheng-Liang SHI Dan-Ping XUE Ren-Yu CAO Guang-Li |
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| Institution: | GONG Cheng-Liang1 SHI Dan-Ping2 XUE Ren-Yu1 CAO Guang-Li1(1Sericultural Institute of Soochow University,Suzhou Jiangsu 215123,China,2Suzhou Branch of Agricultural Bank of China,Suzhou Jiangsu 215011,China) |
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| Abstract: | In order to popularize knowledge of silkworm diseases,improve accuracy of disease diagnosis and disease control,we developed an internet-based expert system for diagnosis and control of 19 major silkworm diseases(http:∥211.90.162.131:8099/) by adopting mature technology of IIS+ASP+ACCESS provided by Microsoft Company.This system consists of modules of basic knowledge,recognition and diagnosis,occurrence regularity and control methods,an aided diagnosis program,and consultation and image web pages.After being fed with identified symptoms(fact and evidence),the fuzzy discrimination module,core of the aided diagnosis program that uses computable model probability value from the database conversed by expert experience,can generate a result from maximal value of the fuzzy affirmation with the diagnostic rules set for fuzzy production and provide corresponding measures for controlling the disease. |
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| Keywords: | Silkworm disease Diagnosis Disease control Expert system Network |
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