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Time series prediction using evolving radial basis function networks with new encoding scheme

✍ Scribed by Haiping Du; Nong Zhang


Book ID
113815466
Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
411 KB
Volume
71
Category
Article
ISSN
0925-2312

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A new structure of Radial Basis Function (RBF) neural network called the Dual-orthogonal RBF Network (DRBF) is introduced for nonlinear time series prediction. The hidden nodes of a conventional RBF network compare the Euclidean distance between the network input vector and the centres, and the node