Can fit neural networks with up to two hidden layers and two different error functions. But just able to compute one output neuron. Also able to handle a weight decay.
|License:||GPL (>= 2)|
The function TeachNet trains the neural network and also does some testing at the end. It's also possible to get the final weights returned. In the beginning the weights are initialized with a standard normal distribution. But this package is due to its very slow code just to understand the backpropagation algorithm. A good package for real training of neural networks is for example 'nnet'.
Maintainer: Who to complain to <firstname.lastname@example.org>
Predicting credit default using neural networks, Georg Steinbuss 2013
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.