Research of Pest Diagnosis System Development Tools Based on Binary Tree

文献类型: 外文期刊

第一作者: Qiu, Yun

作者: Qiu, Yun;Zhou, Guomin

作者机构:

关键词: pest diagnosis;binary tree;CLIPS system;knowledge system;knowledge expression

期刊名称:COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IV, PT 2

ISSN: 1868-4238

年卷期: 2011 年 345 卷

页码:

收录情况: SCI

摘要: A visual pests diagnosis system development tools based on binary tree (abbreviation: knowledge system development tools) was developed by techniques of computer visualization, binary tree, XML database and reasoning. This tool combined tree knowledge expression with rule-based reasoning machine, proposed the knowledge acquisition and the reasoning technique based on binary tree, and solved the problem of knowledge acquisition used for pests diagnosis with an expert system development tools CLIPS. The reasoning machine with stateless continuous reasoning technology can improve the efficiency of knowledge acquisition and system reasoning. In this article, we introduced the components and working principles of the pest diagnosis system development tools, and described its usage with a simple example.

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