Predicting Spatial Data With Rbf Networks
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- International journal of neural systems
دوره 14 2 شماره
صفحات -
تاریخ انتشار 2004