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A Bayesian Network Based Intelligent Plant Classification System

机译:基于贝叶斯网络的智能植物分类系统

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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:我们设计了一种方便的植物研究方法,可以对冬眠植物进行自动分类。将考虑与该模型相关的不同功能,并且还将包括其他受影响的事实。分类的要点应该挑出来,我们将根据它们并在贝叶斯的基础上实施该系统。贝叶斯网络正在使用系数学习,因此我们可以通过根据实际数据进行自学习和调整参数来获得自适应学习的优势和分类的最佳效果。这样就解决了冬眠植物自动分类的问题,并在实验中显示了实验结果。

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