ffalta.m

cross validation of test data

fid = fopen('alfold3_3.txt');
A = fscanf(fid,'%f %f %f %f',[4 inf]) % It has four rows now.
A = A'
fclose(fid)

b = [A(:,1:3)]
 c = [A(:,4:4)]
 
 d=c' 
 
p = b'
t = d
net=newff(minmax(p),[5,10,1],{'tansig','tansig','purelin'},'traincgf');
net.trainParam.show = 5;
net.trainParam.epochs = 1000;
net.trainParam.goal = 1e-5;
[net,tr]=train(net,p,t);
a = sim(net,p);
InputSource=net.numInputs
NumLayers=net.numLayers 
NumInputs =net.inputs{1}.size
layer1Size=net.layers{1}.size
layer2Size =net.layers{2}.size
layer3Size =net.layers{3}.size

b1 = net.b{1}
b2 = net.b{2}
b3 = net.b{3}
iw1 = net.iw{1,1}
    lw21 = net.lw{2,1}
    lw32 = net.lw{3,2}

X = getx(net)
wts1=net.LW{1,1};
lengthWgtlayr1=length(wts1)
wts2=net.LW{2,1};
lengthWgtlayr2=length(wts2)
wts3=net.LW{3,1}
lengthWgtlayr3=length(wts3)

lengthWeights=length(X)


fid1 = fopen('ALfold3_3wet.txt','w');
fprintf(fid1,'%f   \n', X);
%fprintf(fid1,'\n %f %f \t %f %f \t  %f  %f \t ', wts1, lengthWgtlayr1,  wts2, lengthWgtlayr2, wts3, lengthWgtlayr3 );
fclose(fid1)

z= [0.7143; 0.0; 1.0;] 
x= z'
a = sim(net,z)
ap = sim(net,p);
ap=ap';
Y=horzcat(b,ap,c)
fid2 = fopen('ALfold3_3Out.txt','w');
fprintf(fid2,'%f   \n',ap);
Y=Y';
fprintf(fid2,'\n %f  %f  %f  %f  %f   \n',Y);
fclose(fid2)

%net.inputWeights