You should have learned with the tutorial basic PLearn neural network. The class used is NNet.
Here is a basic NNet script object:
NNet( nhidden = 10 ; noutputs = 1 ; output_transfer_func = ""; hidden_transfer_func = "tanh" ; cost_funcs = 1 [ mse ] ; optimizer = GradientOptimizer( start_learning_rate = .01; decrease_constant = 0; ) batch_size = 1 ; initialization_method = "normal_sqrt" ; nstages = 500 ; );