public void Execute(IExampleInterface app)
{
var rangeRandom = new RangeRandomizer(-1, 1);
var nwrRandom = new NguyenWidrowRandomizer();
var fanRandom = new FanInRandomizer();
var gaussianRandom = new GaussianRandomizer(0, 1);
var training = new BasicMLDataSet(XOR_INPUT,
XOR_IDEAL);
BasicNetwork network = EncogUtility.SimpleFeedForward(2, 10, 0, 1, true);
Console.WriteLine("Range random: "
+ EvaluateRandomizer(rangeRandom, network, training));
Console.WriteLine("Nguyen-Widrow: "
+ EvaluateRandomizer(nwrRandom, network, training));
Console.WriteLine("Fan-In: "
+ EvaluateRandomizer(fanRandom, network, training));
Console.WriteLine("Gaussian: "
+ EvaluateRandomizer(gaussianRandom, network, training));
}
public void Execute(IExampleInterface app)
{
var rangeRandom = new RangeRandomizer(-1, 1);
var nwrRandom = new NguyenWidrowRandomizer(-1, 1);
var fanRandom = new FanInRandomizer();
var gaussianRandom = new GaussianRandomizer(0, 1);
var training = new BasicMLDataSet(XOR_INPUT,
XOR_IDEAL);
BasicNetwork network = EncogUtility.SimpleFeedForward(2, 10, 0, 1, true);
Console.WriteLine("Range random: "
+ EvaluateRandomizer(rangeRandom, network, training));
Console.WriteLine("Nguyen-Widrow: "
+ EvaluateRandomizer(nwrRandom, network, training));
Console.WriteLine("Fan-In: "
+ EvaluateRandomizer(fanRandom, network, training));
Console.WriteLine("Gaussian: "
+ EvaluateRandomizer(gaussianRandom, network, training));
}
