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|Title:||Predicting spatial data with RBF networks.|
|Source:||Hu, T.,Sung, S.Y. (2004). Predicting spatial data with RBF networks.. International journal of neural systems 14 (2) : 117-123. ScholarBank@NUS Repository.|
|Abstract:||Spatial prediction needs to account for spatial information, which makes conventional radial basis function (RBF) networks inappropriate, for they assume independent and identical distribution. In this paper, we fuse spatial information at different layers of RBF. Experiments show fusion at hidden layer gives the best result and suggest that the optimal value is around one for the coefficient, which is used in the linear combination at the output layer.|
|Source Title:||International journal of neural systems|
|Appears in Collections:||Staff Publications|
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