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- W2372127100 abstract "Aiming at the problem that too much input values inputs of probabilistic neural network affects the speed of their training,the paper uses rough set attribute reduction method based on discernable matrix to remove irrelevant or unimportant indexes.Considering the uncertainty of the standard of classification for air quality evaluation,A fuzzy probabilistic neural network model(FPNN) for air quality evaluation is proposed by combining fuzzy mathematics and probabilistic neural network.Then,the indexes after attributes reduction is processed with fuzzification,puts the results in PNN neural network for intelligent training.The trainning results indicates the proposed method improves the convergent speed and the outcomes proved to be objective and credible,therefore the evaluating method used is of some practical value." @default.
- W2372127100 created "2016-06-24" @default.
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- W2372127100 date "2010-01-01" @default.
- W2372127100 modified "2023-09-25" @default.
- W2372127100 title "Air quality evaluation based on rough sets and fuzzy neural network" @default.
- W2372127100 hasPublicationYear "2010" @default.
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