nndhop.m
来自「神经网络学习过程的实例程序」· M 代码 · 共 18 行
M
18 行
function yprime = nndhop(t,y)
%NNDHOP Calculates the derivative for Hopfield network
%
% NNDHOP(t,y)
% t - Current time
% y - Current output
% Returns dy.
% Copyright 1994-2002 PWS Publishing Company and The MathWorks, Inc.
% $Revision: 1.6 $
global lambda;
global W;
global b;
a = 2/pi*atan(lambda*pi*y*0.5);
yprime = -y+W*a+b;
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