exam_function.m

来自「基于遗传算法的神经网络程序」· M 代码 · 共 16 行

%检测程序的源代码
function res = exam_function(x,data); 
h = zeros(6,50); 
% Hidden layer output 
h_out(1, :)= tanh(data(1,:)*x(1)+data(2,:)*x(2)+x(19)); 
h_out(2, :)= tanh(data(1,:)*x(3)+data(2,:)*x(4)+x(20)); 
h_out(3, :)= tanh(data(1,:)*x(5)+data(2,:)*x(6)+x(21)); 
h_out(4, :)= tanh(data(1,:)*x(7)+data(2,:)*x(8)+x(22)); 
h_out(5, :)= tanh(data(1,:)*x(9)+data(2,:)*x(10)+x(23)); 
h_out(6, :)= tanh(data(1,:)*x(11)+data(2,:)*x(12)+x(24)); 

% Output layer output 
res = x(13:18)*h_out+x(25); 
zm = zeros(1,50); 
om = ones(1,50); 
res(reszm) = om(res>zm);