RBFN stands for various terms. Discover the full forms, meanings, and possible interpretations of RBFN across different fields and industries.
Radial basis function network a fully connected feedforward network with a sin-gle hidden layer of neurons each of which computes a nonlinear decreasing function of the distance between its received input and a “center point.” This function is generally bell-shaped and has a different center point for each neuron. The center points and the widths of the bell shapes are learned from training data. The input weights usually have fixed values and may be prescribed on the basis of prior knowledge.
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