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A Bayesian Network Based Intelligent Plant Classification System

机译:基于贝叶斯网络的智能工厂分类系统

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摘要

We design a convenience way in plant research, which can classify the hibernal plants automatically. Different features related to this model will be taken into consideration, and other influenced facts will be included as well. The main points of the classification should be picked out and we will implement the system according to them and on the basis of Bayes. The Bayes Network is in use of coefficient learning so that we can get the advantages of adaptive learning and the best effects of classification through self-learning and adjusting parameters according to actual data. In this way, the problem of classifying hibernal plant automatically is solved and the result of experiment will be showed in the paper.
机译:我们在植物研究中设计方便的方式,可以自动对夜间植物进行分类。 将考虑与此模型相关的不同功能,也将包括其他影响的事实。 应挑选分类的要点,我们将根据他们和在贝叶斯的基础上实施系统。 贝叶斯网络正在利用系数学习,使我们可以通过自我学习和调整参数来获得自适应学习和分类的最佳影响的优势。 通过这种方式,解决了分类浑浊植物的问题,并将在纸上显示实验结果。

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