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首页> 外文期刊>International Journal of Electrical and Computer Engineering >Online Expert Systems For Bamboo Identification Using Case Based Reasoning
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Online Expert Systems For Bamboo Identification Using Case Based Reasoning

机译：基于案例推理的竹子识别在线专家系统

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摘要

Bamboo is a typical plant that thrives in tropical countries like Indonesia. The diversity of bamboo species makes difficult to classified, then requiring the expertise from specialist who understands deeply about bamboo characteristics. The paper purpose to (1) adopts the bamboo expert knowledge into bamboo criteria of expertise; (2) implementing Case Based Reasoning method in online expert system for bamboo identification in Bengkulu Province; and (3) determined the identification accuracy of bamboo using expert systems. The system uses Case Based Reasoning with four main steps: retrieve, reuse, revise, and retain. Bamboo expert identify bamboo criteria into 6 morphology, 31 features, and 219 attributes as an input system. The results showed that the Case Based Reasoning method has high accuracy for identifying the bamboo species and can solve the problem of bamboo identification as a new case based on old case that stored in the base case.
机译：竹子是在印度尼西亚等热带国家蓬勃发展的典型植物。竹子种类繁多，很难分类，因此需要了解竹子特征的专家的专业知识。本文旨在（1）将竹子专业知识纳入竹子专业知识标准; （2）在蚌埠市竹木鉴定在线专家系统中实现基于案例的推理方法; （3）利用专家系统确定竹子的识别精度。系统使用基于案例的推理有四个主要步骤：检索，重用，修订和保留。竹子专家将竹子标准识别为6种形态，31个特征和219个属性作为输入系统。结果表明，基于案例的推理方法对竹种的识别具有较高的准确性，可以解决基于基础案例中存储的旧案例作为新案例的竹类识别问题。

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