nnmdlog.m

来自「神经网络设计书籍配套源码（matlab平台）」· M 代码 · 共 31 行

function d = nnmdlog(a,d,w)
%	NNMDLOG Logistic Delta Function for Marquardt.
%          Returns the delta values for a layer of
%          log-sigmoid neurons for use with Marquardt
%          backpropagation.
%          (See MDELTALIN,MDELTATAN,LEARN_MARQ,TANSIG)
%          
%          NNMDLOG(A), A is an SxQ matrix.
%          Returns a matrix of delta vectors for an OUTPUT
%          layer of log-sigmoid neurons with outputs A
%          for the network.
%
%          NNMDLOG(A,D,W), A is an S1xQ matrix,
%            D is an S2xQ matrix, W is an S2xS1 matrix.
%          Returns a matrix of delta vectors for a HIDDEN
%          layer of log-sigmoid neurons with outputs A
%          which had been passed through a weight matrix W
%          to another layer with delta vectors D.

% First Version, 8-31-95.

%==================================================================

[s1,q]=size(a);

if nargin == 1
  d = -kron(((ones-a).*a),ones(1,s1)).*kron(ones(1,s1),eye(s1));
else
  d = ((ones-a).*a).*(w'*d);
end