void CallView::refresh()
{
clear();
setColumnWidth(1, _eventType2 ? 50:0);
if (_eventType)
_headerLabels[0] = _eventType->name();
if (_eventType2)
_headerLabels[1] = _eventType2->name();
setHeaderLabels(_headerLabels);
if (!_data || !_activeItem) return;
TraceFunction* f = activeFunction();
if (!f) return;
TraceCall* call;
// In the call lists, we skip cycles to show the real call relations
TraceCallList l = _showCallers ? f->callers(true) : f->callings(true);
QList<QTreeWidgetItem*> items;
for (call=l.first();call;call=l.next())
if (call->subCost(_eventType)>0)
items.append(new CallItem(this, 0, call));
// when inserting, switch off sorting for performance reason
setSortingEnabled(false);
addTopLevelItems(items);
setSortingEnabled(true);
// enabling sorting switches on the indicator, but we want it off
header()->setSortIndicatorShown(false);
// resize to content now (section size still can be interactively changed)
header()->resizeSections(QHeaderView::ResizeToContents);
if (!_eventType2)
setColumnWidth(1, 0);
}
int ANN::outputFunction(int opt) {
double y = activeFunction();
if (opt==1) {//sigmoid
if (y>0) {
return 1;
} else {
return 0;
}
} else if (opt==2) {//step
if (y>ThresholdStep) {
return 1;
} else {
return 0;
}
} else if (opt==3) {//sign
if (y>0) {
return 1;
} else {
return -1;
}
} else if (opt==4) {//linear
return y;
}
}
void ANN::annBatch(Training tr, int optFunction) {
vector<double> deltaW;
int counter = 0;
double MSE = 999;
double pow;
int oF;
//isi delta w dengan 0
for (int i = 0 ; i < listW.size(); i++){
deltaW.push_back(0);
}
while (counter < MaximumIteration && MSE > Epsilon) {
cout << "===================" << endl;
cout << "==== epoch " << counter+1 << " =====" << endl;
cout << "===================" << endl;
cout << " x0 x1 x2 x3 x4 w0 w1 w2 w3 w4 y o t deltaW0 deltaW1 deltaW2 deltaW3 deltaW4";
// cout << " x0 x1 x2 w0 w1 w2 y o t deltaW0 deltaW1 deltaW2";
cout << endl;
//satu batch
MSE = 0;
for (int i = 0; i < tr.getNumberData() ; i++){
for (int j=0; j<listX.size(); j++) {
printf("%4d", listX[j]);
}
for (int j=0; j<listW.size(); j++) {
printf("%9.2f", listW[j]);
}
oF = outputFunction(optFunction);
printf("%9.2f", activeFunction());
printf("%9d", oF);
printf("%9d", tr.getDataValueConverted(i, tr.getTargetAttribute()));
for (int j = 0 ; j < listW.size() ; j++){
deltaW[j] = deltaW[j] + LearningRate * (tr.getDataValueConverted(i, tr.getTargetAttribute()) - oF) * listX[j];
}
if (i+1<tr.getNumberData()) {
for (int j=0; j<listX.size(); j++) {
if (j>0) {
listX[j] = tr.getDataValueConverted(i+1, tr.getAttribute(j-1));
} else {
listX[j] = 1;
}
}
} else {
for (int j=0; j<listX.size(); j++) {
if (j>0) {
listX[j] = tr.getDataValueConverted(0, tr.getAttribute(j-1));
} else {
listX[j] = 1;
}
}
}
for (int j=0; j<deltaW.size(); j++) {
printf("%9.2f", deltaW[j]);
}
cout << endl;
pow = tr.getDataValueConverted(i, tr.getTargetAttribute()) - oF ;
pow = pow * pow;
MSE = MSE + pow;
}
MSE = (MSE / tr.getNumberData());
cout << "MSE : " << MSE << endl;
cout << endl;
//update
for (int i = 0 ; i < listW.size() ; i++){
listW[i] = listW[i] + deltaW[i];
}
//isi delta w dengan 0
for (int i = 0 ; i < listW.size(); i++){
//deltaW.push_back(0);
deltaW[i] = 0;
}
counter++;
}
}
