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- W2370102452 abstract "Based on the fuzzy set theory, the concepts of fuzzy linear discriminant function, fuzzy decision surface, and fuzzy classification are introduced in this paper. Then, a novel weight-initialization method, by which the input-to-hidden weight vectors of MLP-classifiers are initialized and distributed uniformly on a hypersphere in the weight space, is induced. Using a series of experiments, it is proved that this weight-initialization method is an universal approach to improving markedly the performance of MLP-classifiers, no matter what kind of learning algorithms are exploited and what kind of activation functions are built into the hidden-neurons." @default.
- W2370102452 created "2016-06-24" @default.
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- W2370102452 date "2004-01-01" @default.
- W2370102452 modified "2023-09-23" @default.
- W2370102452 title "Fuzzy Linear Discriminant Functions and the Weight-Initialization Hyperspheres" @default.
- W2370102452 hasPublicationYear "2004" @default.
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