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- W2760052207 abstract "This paper aims at developing techniqus for design and implementation of neural classifiers. Based on our previous study on generalized RBF neural network architecture and learning criterion function for parameter optimization, this work addresses two realization issues, i.e. supervised input features selection and genetic computation techniques for tuning classifiers. A comparative study on classifiation performance is carried on by a set of protein sequence data." @default.
- W2760052207 created "2017-10-06" @default.
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- W2760052207 date "2017-07-21" @default.
- W2760052207 modified "2023-09-23" @default.
- W2760052207 title "Realization of Generalized RBF Network" @default.
- W2760052207 doi "https://doi.org/10.33736/jita.400.2005" @default.
- W2760052207 hasPublicationYear "2017" @default.
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