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• W2102498831 abstract "To solve the curse of dimensionality of a conventional fuzzy neural network, a fuzzy neural network tree based on the normal fuzzy reasoning is proposed. The heuristic backpropagation learning algorithm using a divide-and-conquer method is developed to enhance learning quality in term of discovered knowledge, training error and prediction error. Simulations have shown that the fuzzy neural network tree is able to discover meaningful fuzzy rules with low training errors and low prediction errors. In the future, the fuzzy neural network tree will have more applications in large-scale data mining and data fusion, machine learning, and e-business." @default.
• W2102498831 created "2016-06-24" @default.
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• W2102498831 date "2003-06-25" @default.
• W2102498831 modified "2023-09-26" @default.
• W2102498831 title "A fuzzy neural network tree with heuristic backpropagation learning" @default.
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• W2102498831 doi "https://doi.org/10.1109/ijcnn.2002.1005532" @default.
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