Sir what is the difference between Artificial neural network and RBF based network????Why RBF network is more suitable for classification than Regular artificial neural network?????

Sir what is the difference between Artificial neural network and RBF based network????Why RBF network is more suitable for classification than Regular artificial neural network?????

Answer 1

[Greg Heath]

BOTH are feedforward artificial neural networks.

MLP or MLPNN: Multilayer Perceptron NN uses S-shaped sigmoid functions in the hidden layers

EBF or EBFNN: Elliptical Basis Function NN uses elliptical Gaussian functions in the hidden layers

RBF is a special case of the EBF that uses spherical Gaussian functions in the hidden layers

ALL configurations can be UNIVERSAL APPROXIMATORS with only one hidden layer.

The best one to use for classification depends on the shape of the class boundaries.

Hope this helps.

Thank you for formally accepting my answer

Greg

Answer 2

[faisal khan]

What is the limitation of artificial neutral network?

Answer 3

[faisal khan]

What is the radial basis function neural network (RBF NN)