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Radial basis function approach to nonlinear Granger causality of time series

✍ Scribed by Ancona, Nicola; Marinazzo, Daniele; Stramaglia, Sebastiano


Book ID
125861816
Publisher
The American Physical Society
Year
2004
Tongue
English
Weight
105 KB
Volume
70
Category
Article
ISSN
1063-651X

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✍ Steve A. Billings; X. Hong πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 359 KB

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