sgnt_vwp.m

用matlab编写的基于自生成神经网络(self-generated neural network)的预测方法(包含数据集)

function node= sgnt_vwp(node,m)

[nr,nc]= size(node);
 for i=2:1:nr
    parent_pt= node(i,m+2);
    if parent_pt > 0
        grandparent_pt= node(parent_pt,m+2);
       if grandparent_pt > 0
          for k=1:1:m
             wn(k)= node(i,k);
             wp(k)= node(parent_pt,k);
             wg(k)= node(grandparent_pt,k); 
          end
          dnp= sum((wn-wp).^2);
          dng= sum((wn-wg).^2);
          
          if dnp > dng
             % update np             
             for k=1:1:m
                node(parent_pt,k)= (node(parent_pt,k)*node(parent_pt,m+1)-...
                   node(i,k)*node(i,m+1))/(node(parent_pt,m+1)- node(i,m+1));
             end
             node(parent_pt,m+1)= node(parent_pt,m+1)- node(i,m+1);
             % connect(n,ng)
             node(i,m+2)= grandparent_pt;   %  1
             pointer=node(grandparent_pt,m+3);
             while (pointer > 0)
                s_pointer= node(pointer,m+4);
                if s_pointer ==0   node(pointer,m+4)= i; break; end   % 2
                pointer= s_pointer;
             end
             pointer= node(parent_pt,m+3);
             if pointer== i 
                node(parent_pt,m+3)= node(i,m+4);                
             else 
                while (pointer > 0)
                   s_pointer= node(pointer,m+4);
                   if s_pointer== i   node(pointer,m+4)= node(i,m+4); break;  end  % 3
                   pointer= s_pointer;
                end
             end
             node(i,m+4)= 0;
         end
     end
 end
end