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- W2358117764 abstract "Radial Basis Function Network is a kind of neural n et work, which based on interpolation-approximation theory in numeration. It has high lea rning speed and can avoid getting in local extremum .An organizing radial basis function network, which holds both non-supervised organizing function and super vised learning function, is used to construct a radar's function reasoning mecha nism. The experiment indicates that it spends much less time in training than fu zzy neural network does with the same result." @default.
- W2358117764 created "2016-06-24" @default.
- W2358117764 creator A5026322427 @default.
- W2358117764 date "2003-01-01" @default.
- W2358117764 modified "2023-09-25" @default.
- W2358117764 title "The Application of the Radial Basis Function Network in Data Fusi on" @default.
- W2358117764 hasPublicationYear "2003" @default.
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