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Schematic diagram of an RBF neural network classifier. Raw data are distributed from the input layer via a “hidden” layer of processing units or nodes to an “output layer” where the network’s decision is formed. The bias node has a constant output value irrespective of input: its use allows output layer nodes to add a constant offset.
