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BPNetwork.pas
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197 lines (179 loc) · 4.58 KB
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program BPNetwork;
uses
math, sysUtils;
const
hidNode = 16;
lr = 0.1;
epochs = 50000;
var
f, fOut: textfile;
i, j, k: longint;
ch, ch2: char;
mmse, Mse, Mae, apr, arl: double;
tStart, tEnd: int64;
Data: array[0..1050, 0..8] of double;
Dmin, Dmax: array[0..8] of double;
W1: array[0..7, 0..hidNode-1] of double;
W2: array[0..hidNode-1, 0..0] of double;
B1: array[0..hidNode-1] of double;
B2: array[0..0] of double;
hOut: array[0..hidNode-1] of double;
rOut: array[0..0] of double;
sigTable: array[0..2010] of double;
procedure shuffleData;
var
i, j, k: integer;
temp: double;
begin
randSeed := 20260103;
for i := 1029 downto 1 do
begin
k := random(i + 1);
for j := 0 to 8 do
begin
temp := Data[i, j];
Data[i, j] := Data[k, j];
Data[k, j] := temp;
end;
end;
end;
procedure normData;
var
i, j: integer;
begin
for j := 0 to 8 do
begin
Dmin[j] := 1e8;
Dmax[j] := -1;
for i := 0 to 1029 do
begin
if (Data[i, j] < Dmin[j]) then Dmin[j] := Data[i, j];
if (Data[i, j] > Dmax[j]) then Dmax[j] := Data[i, j];
end;
for i := 0 to 1029 do
Data[i, j] := (Data[i, j] - Dmin[j]) / (Dmax[j] - Dmin[j]);
end;
end;
procedure init;
var
i, j: integer;
begin
for i := 0 to 7 do
for j := 0 to hidNode - 1 do
W1[i, j] := random() * 2 - 1;
for i := 0 to hidNode - 1 do
begin
B1[i] := random() * 2 - 1;
W2[i, 0] := random() * 2 - 1;
end;
B2[0] := random() * 2 - 1;
end;
procedure iniSigmoid;
var
i: integer;
x: double;
begin
for i := 0 to 2000 do
begin
x := -10 + i * 0.01;
sigTable[i] := 1 / (1 + exp(-x));
end;
end;
function fastSigmoid(x: double): double;
begin
if (x >= 10) then exit(1);
if (x <= -10) then exit(0);
fastSigmoid := sigTable[round((x + 10) * 100)];
end;
procedure doForward(x: integer);
var
i, j: integer;
sum: double;
begin
for j := 0 to hidNode - 1 do
begin
sum := B1[j];
for i := 0 to 7 do
sum := sum + Data[x, i] * W1[i, j];
hOut[j] := fastSigmoid(sum);
end;
sum := B2[0];
for i := 0 to hidNode - 1 do
sum := sum + hOut[i] * W2[i, 0];
rOut[0] := fastSigmoid(sum);
end;
procedure doBackward(x: integer; lr: double);
var
i, j: integer;
rl, pd, delOut: double;
delHid: array[0..hidNode-1] of double;
begin
rl := Data[x, 8];
pd := rOut[0];
delOut := (rl - pd) * pd * (1 - pd);
for i := 0 to hidNode - 1 do
delHid[i] := delOut * W2[i, 0] * hOut[i] * (1 - hOut[i]);
for i := 0 to hidNode - 1 do
W2[i, 0] := W2[i, 0] + lr * delOut * hOut[i];
B2[0] := B2[0] + lr * delOut;
for i := 0 to 7 do
for j := 0 to hidNode - 1 do
W1[i, j] := W1[i, j] + lr * delHid[j] * Data[x, i];
for i := 0 to hidNode - 1 do
B1[i] := B1[i] + lr * delHid[i];
end;
begin
assign(f, 'Concrete_Data.csv');
reset(f);
for i := 0 to 1029 do
begin
read(f, Data[i, 0], ch, ch2);
read(f, Data[i, 1], ch, ch2);
read(f, Data[i, 2], ch, ch2);
read(f, Data[i, 3], ch, ch2);
read(f, Data[i, 4], ch, ch2);
read(f, Data[i, 5], ch, ch2);
read(f, Data[i, 6], ch, ch2);
read(f, Data[i, 7], ch, ch2);
readln(f, Data[i, 8]);
end;
close(f);
assign(fOut, 'Training_result.txt');
rewrite(fOut);
shuffleData;
normData;
init;
iniSigmoid;
tStart := getTickCount64;
for k := 1 to epochs do
begin
mmse := 0;
for i := 0 to 824 do
begin
doForward(i);
doBackward(i, lr);
mmse := mmse + sqr(Data[i, 8] - rOut[0]);
end;
if (k mod 1000 = 0) then
begin
writeln('Epoch ', k , ': mmse = ', mmse:0:4);
writeln(fOut, 'Epoch ', k , ': mmse = ', mmse:0:4);
end;
end;
tEnd := getTickCount64;
for i := 825 to 1029 do
begin
doForward(i);
Mse := Mse + sqr(Data[i, 8] - rOut[0]);
apr := rOut[0] * (Dmax[8] - Dmin[8]) + Dmin[8];
arl := Data[i, 8] * (Dmax[8] - Dmin[8]) + Dmin[8];
writeln('Sample ', i, ', Predict ', apr:0:4, ', Real ', arl:0:4, ', Error ', abs(apr - arl):0:4);
writeln(fOut, 'Sample ', i, ', Predict ', apr:0:4, ', Real ', arl:0:4, ', Error ', abs(apr - arl):0:4);
Mae := Mae + abs(apr - arl);
end;
writeln('Total MSE = ', Mse / 205 :0:4, ', Total Mae = ', Mae / 205 :0:4);
writeln('Total time = ', (tEnd - tStart) / 1000 :0:3, ' sec');
writeln(fOut, 'Total MSE = ', Mse / 205 :0:4, ', Total Mae = ', Mae / 205 :0:4);
writeln(fOut, 'Total time = ', (tEnd - tStart) / 1000 :0:3, ' sec');
close(fOut);
end.