se_snn.m

神经网络的工具箱, 神经网络的工具箱,

function f = se_snn(a, t)
%SE_SNN Squared error.
%
%  Syntax
%
%   f = se_snn(y, t)
%
%     y - output
%     t - target
%     f - squared error
%

if isstr(a)
   switch lower(a)
     case 'deriv',
	  f = 'dse_snn';
     case '2deriv',
          f = 'd2se_snn';
     case 'inv',
          f = 'invse_snn';
     otherwise,
	  error('Unrecognized code.')
   end
   return
end

f = 0.5*((a - t).^2);