void BinaryOutputElement::setInputs(const QVector<double> &inputs)
{
if(this->inputs.size() != inputs.size()){
setInputSize(inputs.size());
}
this->inputs = inputs;
}
void PerceptronDisplay::initPDisplay(SimplePerceptron *sp)
{
this->sp = sp;
nucleo = new Soma();
setInputSize(this->sp->getInputSize());
addItem(nucleo);
}//initPDisplay
void BinaryOutputElement::initBOR(int inputs, Align a, double threshold, ThresholdType tt)
{
intRect = boundingRect().adjusted(5, 5, -5, -5);
setAligment(a);
setInputSize(inputs);
setThresholdType(tt);
setThreshold(threshold);
}
void Adaline::init(int ninputs, TransferFunctionType ft)
{
if(ninputs > 0){
setAlfa(1);
setInputSize(ninputs);
setTransferFunction(ft);
}else{
qWarning()<<"Se debe asignar al menos una entrada a un perceptron simple";
}
}
void MultilayerPerceptron::initMLP(int ninputs, int noutputs, const vector<int> &hiddenLayerSizes, const TransferFunctionType &tf)
{
tres = new MLPTrainingResult();
nInputs = ninputs;
setAlfa(1);
setLayerSizes(hiddenLayerSizes);
setInputSize(ninputs);
setOutputSize(noutputs);
setTransferFunctionType(tf);
// setOutputType(Continuous);
randomizeWeights();
connect(this, SIGNAL(finished()), SLOT(finished()));
}