datainit.m

神经网络训练样本归一化程序

data=[ 200	40	0.5	4	20	4.315;
200	45	1.0	7	30	4.095;
200	50	1.5	11	40	3.977;
200	55	2.0	14	50	3.963;
200	60	2.5	17	60	3.909;
210	40	1.0	11	50	3.999;
210	45	1.5	14	60	4.020;
210	50	2.0	17	20	3.971;
210	55	2.5	4	30	4.296;
210	60	0.5	7	40	4.258;
220	40	1.5	17	30	3.990;
220	45	2.0	4	40	4.330;
220	50	2.5	7	50	4.102;
220	55	0.5	11	60	4.100;
220	60	1.0	14	20	4.066;
230	40	2.0	7	60	4.136;
230	45	2.5	11	20	4.005;
230	50	0.5	14	30	4.075;
230	55	1.0	17	40	4.098;
230	60	1.5	4	50	4.521;
240	40	2.5	14	40	4.013;
240	45	0.5	17	50	4.081;
240	50	1.0	4	60	4.560;
240	55	1.5	7	20	4.308;
240	60	2.0	11	30	4.139;
200	40	0.5	14	60	3.962;
200	45	1.0	17	20	3.916;
200	50	1.5	4	30	4.297;
200	55	2.0	7	40	4.084;
200	60	2.5	11	50	3.958;
210	40	1.0	4	40	4.328;
210	45	1.5	7	50	4.100;
210	50	2.0	11	60	3.990;
210	55	2.5	14	20	3.965;
210	60	0.5	17	30	4.048;
220	40	1.5	11	20	4.024;
220	45	2.0	14	30	3.990;
220	50	2.5	17	40	3.948;
220	55	0.5	4	50	4.521;
220	60	1.0	7	60	4.280;
230	40	2.0	17	50	3.999;
230	45	2.5	4	60	4.336;
230	50	0.5	7	20	4.294;
230	55	1.0	11	30	4.135;
230	60	1.5	14	40	4.083;
240	40	2.5	7	30	4.132;
240	45	0.5	11	40	4.133;
240	50	1.0	14	50	4.099;
240	55	1.5	17	60	4.098;
240	60	2.0	4	20	4.526;
230	50	0.5	14	30	4.075;
230	55	1.0	17	40	4.098;
230	60	1.5	4	50	4.521;
240	40	2.5	14	40	4.013;
240	45	0.5	17	50	4.081;
240	50	1.0	4	60	4.560;
240	55	1.5	7	20	4.308;
240	60	2.0	11	30	4.139;
200	40	0.5	14	60	3.962;
200	45	1.0	17	20	3.916;
210	45	1.5	7	50	4.100;
210	50	2.0	11	60	3.990;
210	55	2.5	14	20	3.965;
210	60	0.5	17	30	4.048;
220	40	1.5	11	20	4.024;
220	45	2.0	14	30	3.990;
220	50	2.5	17	40	3.948;
220	55	0.5	4	50	4.521;
220	60	1.0	7	60	4.280;
230	40	2.0	17	50	3.999;];
size(data)
 data=data';
 for i=1:6
     for j=1:70
         data(i,j)=(data(i,j)-1.125*min(data(i,:))+0.125*max(data(i,:)))/(max(data(i,:))-1.25*min(data(i,:))+0.25*max(data(i,:)));
     end
 end
 p=zeros(6,52);
 p_test=zeros(6,18);
 for i=1:6
     for j=0:17
        p_test(i,j+1)=data(i,1+j*4);
     end
 end
 for i=1:6
     k=1;
     for j=1:70
         if mod((j-1),4)~=0
             p(i,k)=data(i,j);
             k=k+1;
         end
     end
 end
 for i=1:5
     for j=1:52
         P(i,j)=p(i,j);
     end
 end
 for i=1:5
     for j=1:18
         P_TEST(i,j)=p_test(i,j);
     end
 end
 for i=1:52
     T(1,i)=p(6,i);
 end
 for i=1:18
      T_TEST(1,i)=p_test(6,i);
 end