A Radial Basis Function (RBF) neural network has input layer, hidden layer and output layer. The neurons in the hidden layer contain Gaussian transfer function, and its output is a linear combination of radial basis functions.
They are used in function approximation, time series prediction, and control.
[http://en.wikipedia.org/wiki/Radial_basis_function_network]
To create and train RBF neural network with easyNeurons do the following:
Step 1. To create RBF network, in main menu click Networks > RBF
Step 2. Enter number of neurons in input layer, and click Create button.
This will create the RBF neural network with two neurons in input layer, three neurons in rbf layer and one neuron in output layer.
Now we shall train this simple network, to learn from data. First we have to create the training set
Step 3. In main menu click Training > New Training Set to open training set wizard.
Step 4. Train network
TODO
Step 5. Test network
TODO