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===Pattern layer===
This layer contains one neuron for each case in the training data set. It stores the values of the predictor variables for the case along with the target value. a hidden neuron computes the Euclidean distance of the test case from the neuron’s center point and then applies the [[Radial_basis_function|RBF]] kernel function using the sigma values.
===Summation layer===
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