Bayesian expert system classifier 贝叶斯专家系统分类器
Then, based on the continuous land surface map of tree, herbaceous and bare, the land use classification was made using expert classifier.
然后根据所生成的林地、草本和裸地的连续覆盖图，基于专家分类器进行土地利用分类。
According to the knowledge auto-extraction method developed in this study, the bottleneck of knowledge acquirement in Bayesian expert system classifier could be well solved.
研究表明依据专家知识自动提取方法能够有效解决现有贝叶斯专家系统分类器中存在的瓶颈问题。
Firstly, the bottleneck of actual Bayesian expert system classifier was identified according to the process analysis.
研究中分析了专家知识提取相关过程，并得出现有贝叶斯专家系统分类器应用的瓶颈问题。
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