public static void check_ex(vnn nn, VNNAddOn.trainingSet tset)
{
if (nn.nInput != tset.inputs[0].Length)
{
throw new NNSetNotMatch(true);
}
if (nn.nOutput != tset.outputs[0].Length)
{
throw new NNSetNotMatch(false);
}
}
public trainer(vnn net, trainingSet set, double learning_rate, double moment)
{
exceptions.NNSetNotMatch.check_ex(net, set);
NN = net;
tset = set;
momentum = moment;
learningRate = learning_rate;
outputErrorGradients = new double[net.nOutput];
hiddenErrorGradients = new double[net.nHidden];
deltaHiddenOutput = new double[net.nOutput, net.nHidden + 1];
deltaInputHidden = new double[net.nHidden, net.nInput + 1];
}
public DynamicTrainer(DynamicVNN nn, trainingSet tset, double learningrate, double moment) : base(nn, tset, learningrate, moment)
{
dnn = nn;
}
public randomUpdateTrainer(vnn nn, trainingSet tset, double learningRate, double momentum) : base(nn, tset, learningRate, momentum)
{
}
