| http://www.w3.org/ns/prov#value | - where m is the number of neurons in the hidden layer, F is the input vector, ci and ??i, respectively, are the center and the width (or spread) of the Gaussian function of the ith neuron in the hidden layer, and ???F ??? ci??? represents the distance between F and ci.The output layer is a linear combination of the hidden layer output with associative weights and biases, and the jth output of the R
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