In the field of mathematical modeling, a radial basis function network is an artificial neural network that uses radial basis functions as activation functions. The output of the network is a linear combination of radial basis functions of the inputs and neuron parameters.
In the domain of mathematical modeling, a radial basis function network is an artificial neural network that uses radial basis functions for activation. The network's output is a combination of these functions based on the inputs and neuron parameters.