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- W2372879201 abstract "The Fuzzy-ARTMAP neural network algorithm can examine the pattern within the news text efficiently with the dynamic state. But the convergence velocity becomes slowly with the increase of the network dimension, the computation complexity and the Robustness anti higher. Therefore put forward a kind of fast fuzzy-ARTMAP neural network algorithm. That algorithm mainly put for-ward a new match and activation function which both simple for computation and understanding. Doing not need the normalization and complements computing the step, doing away with the match trace procedure, being to take place the uncompleted nodal point for win the nodal point of the competition, directly create a class identification of new template layer. The novelty of the proposed al-gorithm is the structure incrementally. Experimental results demonstrate that proposed clustering algorithm produces high-quality pat-terns discovery while fulfill a reasonable run time." @default.
- W2372879201 created "2016-06-24" @default.
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- W2372879201 date "2007-01-01" @default.
- W2372879201 modified "2023-09-22" @default.
- W2372879201 title "A kind of Fast Fuzzy-ARTMAP Neural Network Algorithm" @default.
- W2372879201 hasPublicationYear "2007" @default.
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