fitness_function.m

来自「基于遗传算法的神经网络程序」· M 代码 · 共 21 行

%fitness function的源代码
function fval = fitness_function(x); 

load training_data; 

h = zeros(6,200); 
% Hidden layer output 
h_out(1,:)= tanh(source_point(1,:)*x(1)+source_point(2,:)*x(2)+x(19)); 
h_out(2, :) = tanh(source_point(1,:)*x(3)+source_point(2,:)*x(4)+x(20)); 
h_out(3, :)= tanh(source_point(1,:)*x(5)+source_point(2,:)*x(6)+x(21)); 
h_out(4, :)= tanh(source_point(1,:)*x(7)+source_point(2,:)*x(8)+x(22)); 
h_out(5, :)= tanh(source_point(1,:)*x(9)+source_point(2,:)*x(10)+x(23)); 
h_out(6, :)= tanh(source_point(1,:)*x(11)+source_point(2,:)*x(12)+x(24)); 

% Output layer output 
res = x(13:18)*h_out+x(25); 
zm = zeros(1,200); 
om = ones(1,200); 
res(reszm) = om(res>zm); 
fval = sum(abs(point_c-res));