The equivalency between a decision tree for classification and a feedback neural network
作者： Aijun Li , Siwei Luo , Yunhui Liu , Hanbin Yu
DOI: 10.1109/ICOSP.2004.1441626
关键词:
摘要: In machine learning, the learning paradigms of an artificial neural network (ANN) and a decision tree (DT) are different, but they equivalent in essence. This paper proves approximate equivalency between feedback networks trees. The result provides us very useful guideline when we perform theoretical research applications on DT ANN.
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