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<html><head> <meta HTTP-EQUIV="Content-Type" CONTENT="text/html;charset=ISO-8859-1"> <title>sigmoid.m</title><link rel="stylesheet" type="text/css" href="../../m-syntax.css"></head><body><code><span class=defun_kw>function</span> <span class=defun_out>y</span>=<span class=defun_name>sigmoid</span>(<span class=defun_in>X,arg1,arg2</span>)<br><span class=h1>% SIGMOID Evaluates sigmoid function.</span><br><span class=help>%</span><br><span class=help>% <span class=help_field>Synopsis:</span></span><br><span class=help>% y = sigmoid(X,model)</span><br><span class=help>% y = sigmois(X,A1,A2)</span><br><span class=help>%</span><br><span class=help>% <span class=help_field>Description:</span></span><br><span class=help>% y = sigmoid(X,model) returns </span><br><span class=help>% y = 1/(1+exp(A(1)*X + A(2))</span><br><span class=help>%</span><br><span class=help>% where A = model.A.</span><br><span class=help>%</span><br><span class=help>% y = sigmois(X, A1, A2) allows A to be given as A = [A1 A2].</span><br><span class=help>%</span><br><span class=help>% <span class=help_field>Input:</span></span><br><span class=help>% X [1 x num_data] Inputs.</span><br><span class=help>% model.A [2 x 1] Sigmoid parameters.</span><br><span class=help>%</span><br><span class=help>% <span class=help_field>Output:</span></span><br><span class=help>% y [1 x num_data] Evaluated sigmoid function.</span><br><span class=help>%</span><br><span class=help>% See also </span><br><span class=help>% MLSIGMOID.</span><br><span class=help>%</span><br><hr><span class=help1>% <span class=help1_field>About:</span> Statistical Pattern Recognition Toolbox</span><br><span class=help1>% (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac</span><br><span class=help1>% <a href="http://www.cvut.cz">Czech Technical University Prague</a></span><br><span class=help1>% <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a></span><br><span class=help1>% <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a></span><br><br><span class=help1>% <span class=help1_field>Modifications:</span></span><br><span class=help1>% 3-jun-2004, VF</span><br><span class=help1>% 8-may-2003, VF</span><br><br><hr><span class=keyword>if</span> <span class=stack>nargin</span> == 3,<br> y = 1./(1+exp(X*arg1 + arg2));<br><span class=keyword>else</span><br> model=c2s(arg1);<br> y = 1./(1+exp(X*model.A(1)+model.A(2)));<br><span class=keyword>end</span><br><br><span class=jump>return</span>;<br><span class=comment>% EOF</span><br></code>?? 快捷鍵說明
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