Doubt regards the Back Propagation Network training

sir my doubt regards the coding process for training the BPN is correct or not sir, would you been specified the error would i did thank you sir and also specified the newer version of train for BPN

input1=q(1,1:419); output1(1:419)=0;

input2=q(2,1:419); output2(1:419)=0;

input3=q(3,1:419); output3(3:419)=0;

input4=q(4,1:419); output4(4:419)=0;

input5=q(5,1:419); output5(5:419)=0;

input6=q(6,1:419); output6(6:419)=0;

input7=q(7,1:419); output7(7:419)=1;

input8=q(8,1:419); output8(8:419)=1;

input9=q(9,1:419); output9(9:419)=1;

input10=q(10,1:419); output10(10:419)=1;

input = [input1 input2 input3 input4 input5 input6 input7 input8 input9 input10]; output = [output1 output2 output3 output4 output5 output6 output7 output8 output9 output10];

val=[min(input(1,:)) max(input(1,:))];

nsch=newff(val,[100 1],{'tansig' 'purelin'},'trainlm');

nsch.trainparam.show=2;

nsch.trainparam.lr=0.01;

nsch.trainparam.mc=0.9;

nsch.trainparam.epochs=100;

nsch.trainparam.goal=1e-3;

%net.trainParam.time  inf
    
nsch=train(nsch,input,output);

res=sim(nsch,input);