nethess.m

利用HMM的方法的三种语音识别算法

function [h, varargout] = nethess(w, net, x, t, varargin)
%NETHESS Evaluate network Hessian
%
%	Description
%
%	H = NETHESS(W, NET, X, T) takes a weight vector W and a network data
%	structure NET, together with the matrix X of input vectors and the
%	matrix T of target vectors, and returns the value of the Hessian
%	evaluated at W.
%
%	[E, VARARGOUT] = NETHESS(W, NET, X, T, VARARGIN) also returns any
%	additional return values from the network Hessian function, and
%	passes additional arguments to that function.
%
%	See also
%	NETERR, NETGRAD, NETOPT
%

%	Copyright (c) Ian T Nabney (1996-2001)

hess_str = [net.type, 'hess'];

net = netunpak(net, w);

[s{1:nargout}] = feval(hess_str, net, x, t, varargin{:});
h = s{1};
for i = 2:nargout
  varargout{i-1} = s{i};
end