Approach for Neural network

I wanted to create a Neural network that can be replica of runpf() in MATPOWER but only active and reactive power using the Neural Network fitting toolbox. is this the right approach. Later I want to use Neural network for different projects

mpc2=loadcase('case39');
load_min = 0;
load_max = mpc2.bus(:,3);
LP=zeros(39,5000);
LQ=zeros(39,5000);
V=zeros(39,5000);
%c=1;
j=1;
for i=1:5000
    load= rand .* (load_max - load_min) + load_min; % Generating Random value for load
    mpc2.bus(:,3)=load;
    PF = runpf(mpc2);
    if (PF.success)
        LP(:,j)=PF.bus(:,3);
        LQ(:,j)=PF.bus(:,4);
        L = [LP; LQ];
        V(:,j)=PF.bus(:,8);
        j =j+1;
    end
end