/**
* Load Road Network Data
*/
void loadData(char *path)
{
readBuffer = (char *)malloc(nowSize);
LoadNode(path);
LoadEdge(path);
LoadNet(path);
}
void CPnet::CPMenu(void) {
int selection;
while(selection != 8) {
cout << "=================================================================\n";
cout << "\tPerceptron Neural Net using Perceptron learning rule\n";
cout << "=================================================================\n\n";
cout << "[1]. Create a new Neural Net" << endl;
cout << "[2]. Train the current Neural Net" << endl;
cout << "[3]. Load a Neural Net from file" << endl;
cout << "[4]. Test Neural Net" << endl;
cout << "[5]. Save the current Net" << endl;
cout << "[6]. Set training display" << endl;
cout << "[7]. Display Neural Net Info" << endl;
cout << "[8]. Quit the program" << endl << endl;
cout << "selection: ";
selection = getche() - '0';
WAIT(0.5*SECOND);
CLEAR_SCREEN();
switch(selection) {
case 1:
SaveCurrentData();
cout << "\nCreating Neural Net...";
WAIT(1*SECOND);
CreateNet();
break;
case 2:
if (bNeuralNetCreated) {
cout << "\nTraining \"" << szNeuralNetName << "\" function..." << endl;
WAIT(0.7*SECOND);
cout << "Enter Learning rate: ";
cin >> LEARNING_RATE;
WAIT(0.7*SECOND);
cout << "Enter number of epochs: ";
cin >> CPN_ITER;
NormalizeInput();
NormalizeTarget();
CLEAR_SCREEN();
WAIT(0.7*SECOND);
cout << "\nTraining \"" << szNeuralNetName << "\" function..." << endl;
WAIT(2*SECOND);
CLEAR_SCREEN();
TrainNetwork();
} else {
UpdateScreen();
}
break;
case 3:
SaveCurrentData();
cout << "\n\nLoading Neural Net..." << endl;
WAIT(0.85*SECOND);
cout << "\nEnter the name of the Neural Net or the complete path where "
<< "the Net data can be found\n: ";
cin.sync();
cin.getline(szNeuralNetName, MAX_PATH);
LoadNet();
WAIT(1.5*SECOND);
CLEAR_SCREEN();
cout << "\n\n\n\n\n\n\n\n\n\t\t\tNeural Net loaded successfuly!" << endl;
UpdateScreen();
break;
case 4:
if (bNeuralNetTrained) {
cout << "\nTesting \"" << szNeuralNetName << "\" function..." << endl;
cout << "1. default test" << endl;
cout << "2. selective test" << endl;
cout << "\nselection: ";
int nNumOfPattern;
int sel = getche();
CLEAR_SCREEN();
WAIT(0.7*SECOND);
DeNormalizeInput();
DeNormalizeTarget();
switch(sel) {
case '1':
TestNetwork();
break;
case '2':
cout << "\nEnter the number of patterns to be tested: ";
cin >> nNumOfPattern;
SelectiveTest(nNumOfPattern);
UpdateScreen();
break;
default:
cout << "\nunknown selection." << endl;
UpdateScreen();
}
} else {
UpdateScreen();
}
break;
case 5:
if (bNeuralNetCreated) {
if (fExist(szNeuralNetName)) {
CLEAR_SCREEN();
WAIT(0.5*SECOND);
cout << "\n\"" << szNeuralNetName << "\"";
cout << ": this file already exist,do you want to overwrite it?" << endl;
cout << "Yes(y) No(n): ";
char response;
cin >> response;
response = tolower(response);
if(response == 'y') {
SaveNet();
} else {
WAIT(0.5*SECOND);
cout << "\nPlease enter a new name or a complete file path where the "
<< "Neural Net will be saved\n: ";
cin.sync();
cin.getline(szNeuralNetName, MAX_PATH);
SaveNet();
}
} else {
SaveNet();
}
CLEAR_SCREEN();
WAIT(1.5*SECOND);
cout << "\n\n\n\n\n\n\n\n\n\t\t\tThe Neural Net was saved successfuly!" << endl;
}
