?? testdoc.cpp
字號:
temp_weight = 0.0;
delta_weight = 0.0;
}
// ADJUST BIASES FOR OUTPUT UNITS
for(x=0; x<hidden_array_size; x++)
{
temp_bias = bias[x];
delta_bias = bias[x] - old_bias[x];
bias[x] += (learning_rate * delta_error_hidden[x] +
delta_bias * alpha);
old_bias[x] = temp_bias;
temp_bias = 0.0;
delta_bias = 0.0;
}
return;
}
int CTestDoc::compare_output_to_target()
{
int y,z;
double temp, error = 0.0;
temp = target[ytemp][ztemp] - output[ytemp][ztemp];//(t-y)<ε
if (temp < 0) error -= temp;
else error += temp;
if(error > max_error_tollerance) return 0;
error = 0.0;
for(y=0; y < number_of_input_patterns; y++)
{
for(z=0; z < output_array_size; z++)
{
temp = target[y][z] - output[y][z];
if (temp < 0) error -= temp;
else error += temp;
if(error > max_error_tollerance)
{
ytemp = y;
ztemp = z;
return 0;
}
error = 0.0;
}
}
return 1;
}
void CTestDoc::OnMenuNewfile()
{
// TODO: Add your command handler code here
char * szFilter = "Text Files (.txt)|*.txt|All Files (.*)|*.*||";
CFileDialog dlg_save(FALSE,"txt",
NULL,
OFN_HIDEREADONLY | OFN_OVERWRITEPROMPT,
szFilter);
dlg_save.m_ofn.lpstrTitle = "新建數(shù)據(jù)文件";
if (dlg_save.DoModal()==IDOK)
{
CDataInput dlg_d_input;
CValueInput dlg_v_input;
if (dlg_d_input.DoModal() == IDOK)
{
int x,
y,
mode,
bias_array_size,
input_array_size,
hidden_array_size,
output_array_size;
double inpx, val;
CString str_in, str_tar;
can_learn = FALSE;
data_learned = FALSE;
ofstream out(dlg_save.GetPathName());
if (!out){::AfxMessageBox("Can not open the file");exit(1);}
input_array_size = dlg_d_input.m_nInput;
hidden_array_size = dlg_d_input.m_nHidden;
output_array_size = dlg_d_input.m_nOut;
inpx = dlg_d_input.m_dLearn;
mode = dlg_d_input.m_nMode;
bias_array_size = hidden_array_size + output_array_size;
out << input_array_size << endl;
out << hidden_array_size << endl;
out << output_array_size << endl;
out << inpx << endl;
out << mode << endl << endl;
srand((unsigned)time(NULL));
for(x=0; x<bias_array_size; x++)
{
out << (double)(rand()-10000)/RAND_MAX << ' ';
}
out << endl << endl;
for(x=0; x<input_array_size; x++)//Weight Input->Hidden
{
for(y=0; y<hidden_array_size; y++)
{
out << (double)(rand()-10000)/RAND_MAX << ' ';
}
}
out << endl << endl;
for(x=0; x<hidden_array_size; x++)//Weight Hidden->Output
{
for(y=0; y<output_array_size; y++)
{
out << (double)(rand()-10000)/RAND_MAX << ' ';
}
}
out << endl << endl;
ofstream output("tmp_1011.txt");
if (!output){::AfxMessageBox("Can not open the tmeporary file");exit(1);}
for (count=1; count<=mode; count+=dlg_v_input.delta)
{
if (dlg_v_input.DoModal()==IDOK)
{
str_in = dlg_v_input.m_strInput;
str_tar = dlg_v_input.m_strTarget;
out << str_in << endl;
output << str_tar << endl;
}
}
output.close();
out << endl;
ifstream f_input("tmp_1011.txt");
for (count=1; count<=mode; count++)
{
for (x=0; x<output_array_size; x++)
{
f_input >> val;
out << val << ' ';
}
out << endl;
}
f_input.close();
out.close();
CFile::Remove("tmp_1011.txt");
}
}
}
void CTestDoc::OnMenuTest()
{
// TODO: Add your command handler code here
CMyTestDlg dlg_test;
if (dlg_test.DoModal()==IDOK)
{
selpattern = dlg_test.m_nModeNum-1;
TRACE("\nselPATTERN=%d\n",selpattern);
forward_pass(selpattern);
dispmode = 1;
UpdateAllViews(NULL);
}
}
void CTestDoc::load_original_data()
{
int x,y;
for(x=0; x<bias_array_size; x++)
{
bias[x] = 0.0;
old_bias[x] = 0.0;
last_bias[x] = 0.0;
last_old_bias[x] = 0.0;
bias[x] = original_bias[x];
old_bias[x] = bias[x];
last_bias[x] = bias[x];
last_old_bias[x] = bias[x];
}
for(x=0; x<input_array_size; x++)
{
for(y=0; y<hidden_array_size; y++)
{
weight_i_h[x][y] = 0.0;
old_weight_ih[x][y] = 0.0;
last_weight_ih[x][y] = 0.0;
last_old_weight_ih[x][y] = 0.0;
weight_i_h[x][y] = original_weight_ih[x][y];
old_weight_ih[x][y] = weight_i_h[x][y];
last_weight_ih[x][y] = weight_i_h[x][y];
last_old_weight_ih[x][y] = weight_i_h[x][y];
}
}
for(x=0; x<hidden_array_size; x++)
{
for(y=0; y<output_array_size; y++)
{
weight_h_o[x][y] = 0.0;
old_weight_ho[x][y] = 0.0;
last_weight_ho[x][y] = 0.0;
last_old_weight_ho[x][y] = 0.0;
weight_h_o[x][y] = original_weight_ho[x][y];
old_weight_ho[x][y] = weight_h_o[x][y];
last_weight_ho[x][y] = weight_h_o[x][y];
last_old_weight_ho[x][y] = weight_h_o[x][y];
}
}
learning_rate = original_learning_rate;
max_error_tollerance = TOLLERANCE;
increase_length = INCREASE_RATE;
max_step = START_STEP;
angle = START_ANGLE;
sum = 0;
total = 0;
circle = CIRCLE;
loop = LOOP;
progress = TRUE;
not_onward = FALSE;
success = FALSE;
notkeyhit = TRUE;
return;
}
void CTestDoc::read_last_data()
{
int x,y;
for(x=0; x<bias_array_size; x++)
{
bias[x] = last_bias[x];
old_bias[x] = last_old_bias[x];
}
for(x=0; x<input_array_size; x++)
{
for(y=0; y<hidden_array_size; y++)
{
weight_i_h[x][y] = last_weight_ih[x][y];
old_weight_ih[x][y] = last_old_weight_ih[x][y];
}
}
for(x=0; x<hidden_array_size; x++)
{
for(y=0; y<output_array_size; y++)
{
weight_h_o[x][y] = last_weight_ho[x][y];
old_weight_ho[x][y] = last_old_weight_ho[x][y];
delta_weight_ho[x][y] = last_delta_weight_ho[x][y];
}
}
for (x=0; x<output_array_size; x++)
{
delta_error_output[x] = last_delta_error_output[x];
}
for (x=0; x<hidden_array_size; x++)
{
delta_error_hidden[x] = last_delta_error_hidden[x];
}
old_e = last_old_e;
total_e = last_total_e;
learning_rate = last_learning_rate;
original_rate = last_original_rate;
return;
}
void CTestDoc::save_last_data()
{
int x,y;
for(x=0; x<bias_array_size; x++)
{
last_bias[x] = bias[x];
last_old_bias[x] = old_bias[x];
}
for(x=0; x<input_array_size; x++)
{
for(y=0; y<hidden_array_size; y++)
{
last_weight_ih[x][y] = weight_i_h[x][y];
last_old_weight_ih[x][y] = old_weight_ih[x][y];
last_delta_weight_ih[x][y] = delta_weight_ih[x][y];
}
}
for(x=0; x<hidden_array_size; x++)
{
for(y=0; y<output_array_size; y++)
{
last_weight_ho[x][y] = weight_h_o[x][y];
last_old_weight_ho[x][y] = old_weight_ho[x][y];
last_delta_weight_ho[x][y] = delta_weight_ho[x][y];
}
}
for (x=0; x<output_array_size; x++)
{
last_delta_error_output[x] = delta_error_output[x];
}
for (x=0; x<hidden_array_size; x++)
{
last_delta_error_hidden[x] = delta_error_hidden[x];
}
last_old_e = old_e;
last_total_e = total_e;
last_learning_rate = learning_rate;
last_original_rate = original_rate;
return;
}
void CTestDoc::tracebias()
{
//TRACE("\n");
double bs = 0.0;
for (int x=0; x<bias_array_size; x++)
{
TRACE("bias[%d]=%.8f, ",x, bias[x]);
bs += bias[x];
}
TRACE(" sum=%.8f, *sum=%.8f\n\n", bs, bs-bias[x-1]);
sum += bs;
return;
}
double CTestDoc::function(double m)
{
m = 1.0/(1.0+exp(-1.0 * m));
return m;
}
/*
0 0.3 -0.001 1
1 0.6996 -0.161233 0.98
0 0.685608 -0.000211329 0
1 0.685608 -0.000211329 0.98
0 0.685608 -1.53374e-005 1
0 1.08341 -3.49879e-005 1
0 1.48121 -6.86401e-005 1
0 1.87901 -0.000107861 1
0 2.27681 -0.000164225 1
0 2.67461 -0.0002382 1
0 3.07241 -0.00033689 1
0 3.47021 -0.000475504 1
0 3.86801 -0.000676551 1
0 4.26581 -0.000979021 1
0 4.66361 -0.00145081 1
0 5.06141 -0.00221177 1
0 5.45921 -0.00338463 0
0 5.46101 -0.0024852 0
1 5.46101 -0.0024852 0.14
0 0.764541 -0.0034152 1
1 0.764541 -0.0034152 0.74
0 4.04115 -0.000827844 0
1 4.04115 -0.000827844 0.16
0 0.873761 -0.000875605 1
0 1.27156 -0.000217676 0
0 1.36516 -0.0019701 1
0 1.76296 -0.00174889 0
0 1.76476 -0.00330232 1
0 2.16256 -0.00494718 1
0 2.56036 -0.00639199 0
0 2.56216 -0.00859856 0
0 2.56396 -0.0118614 0
0 2.56576 -0.0157227 0
0 2.56756 -0.0201958 0
0 2.56936 -0.0234002 0
0 2.57116 -0.0272885 0
0 2.57296 -0.0307877 0
0 2.57476 -0.0448046 0
0 2.57656 -0.0547712 0
0 2.70436 -0.0562717 1
0 3.10216 -0.0522769 0
0 3.10396 -0.0417098 0
0 3.10576 -0.0359204 1
0 3.50356 -0.0197288 0
0 3.50536 -0.00994523 1
1 0 0.3 -0.001 1060
2 1 2.2098 -0.27483 0.27
3 0 0.081486 -7.04686e-005 1060
3 1 0.081486 -7.04686e-005 0.99
4 0 0.298782 -0.000175794 1060
4 1 0.298782 -0.000175794 0.99
5 0 0.298782 -6.74054e-005 1060
5 1 0.298782 -6.74054e-005 0.99
6 0 0.298782 -2.82104e-005 1060
6 1 0.298782 -2.82104e-005 0.99
7 0 0.298782 -1.40599e-005 1060
8 0 2.20858 -2.48336e-005 989
8 1 2.20858 -2.48336e-005 0.16
9 0 0.0480931 -4.83144e-006 1060
9 1 0.0480931 -4.83144e-006 0.99
10 0 0.297576 -2.33817e-005 1060
10 1 0.297576 -2.33817e-005 0.99
11 0 0.297576 -1.24557e-005 1060
12 0 2.20738 -3.22206e-005 989
12 1 2.20738 -3.22206e-005 0.16
13 0 0.0479002 -4.01468e-006 1060
14 0 1.9577 -4.53444e-006 1050
14 1 1.9577 -4.53444e-006 0.18
15 0 0.00894603 -1.62043e-006 1060
15 1 0.00894603 -1.62043e-006 0.99
16 0 0.0492032 -8.51965e-006 1060
16 1 0.0492032 -8.51965e-006 0.99
17 0 0.0492032 -7.57434e-006 1060
17 1 0.0492032 -7.57434e-006 0.99
18 0 0.0492032 -6.74926e-006 1060
18 1 0.0492032 -6.74926e-006 0.99
1 0 0.3 -0.001 1
3 1 0.6996 -0.161233 0.98
4 0 0.685608 -0.000211329 0
4 1 0.685608 -0.000211329 0.98
5 0 0.685608 -1.53374e-005 1
6 0 1.08341 -3.49879e-005 1
7 0 1.48121 -6.86401e-005 1
8 0 1.87901 -0.000107861 1
9 0 2.27681 -0.000164225 1
10 0 2.67461 -0.0002382 1
11 0 3.07241 -0.00033689 1
12 0 3.47021 -0.000475504 1
13 0 3.86801 -0.000676551 1
14 0 4.26581 -0.000979021 1
15 0 4.66361 -0.00145081 1
16 0 5.06141 -0.00221177 1
17 0 5.45921 -0.00338463 0
18 0 5.46101 -0.0024852 0
18 1 5.46101 -0.0024852 0.14
19 0 0.764541 -0.0034152 1
19 1 0.764541 -0.0034152 0.74
20 0 4.04115 -0.000827844 0
20 1 4.04115 -0.000827844 0.16
21 0 0.873761 -0.000875605 1
22 0 1.27156 -0.000217676 0
23 0 1.36516 -0.0019701 1
24 0 1.76296 -0.00174889 0
25 0 1.76476 -0.00330232 1
26 0 2.16256 -0.00494718 1
27 0 2.56036 -0.00639199 0
28 0 2.56216 -0.00859856 0
29 0 2.56396 -0.0118614 0
30 0 2.56576 -0.0157227 0
31 0 2.56756 -0.0201958 0
32 0 2.56936 -0.0234002 0
33 0 2.57116 -0.0272885 0
34 0 2.57296 -0.0307877 0
35 0 2.57476 -0.0448046 0
36 0 2.57656 -0.0547712 0
37 0 2.70436 -0.0562717 1
38 0 3.10216 -0.0522769 0
39 0 3.10396 -0.0417098 0
40 0 3.10576 -0.0359204 1
41 0 3.50356 -0.0197288 0
42 0 3.50536 -0.00994523 1
*/?? 快捷鍵說明
復(fù)制代碼
Ctrl + C
搜索代碼
Ctrl + F
全屏模式
F11
切換主題
Ctrl + Shift + D
顯示快捷鍵
?
增大字號
Ctrl + =
減小字號
Ctrl + -