trainltr.m

书籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiat

function [a,b,c,d,e,f,g,h] = trainltr(i,j,k,l,m,n,o,p,q,r,s,t,u,v,x,y,z)
%	
%TRAINLTR trains a large feed-forward network with 2 or 3 hidden layers
%using a truncated Gauss-Newton method on a Tikhonov regularized problem.
%
%The general design is much the same as the design of the 
%functions in the Neural Network (NN) Toolbox from MathWorks even though the
%calling sequences differ. See Neural Network Toolbox User's Guide from the
%MathWorks Inc.
%
%TRAINLTR is intended for problems so large that explicit storing of
%the corresponding Jacobian matrix is impossible or inconvenient.
%For smaller problems where the Jacobian can be stored in main memory, there
%is a function TRAINTR that uses the Gauss-Newton method (not truncated)
%on a Tikhonov regularized problem. However, even for smaller problems TRAINLTR
%is often to be prefered to TRAINTR (not to mention the Levenberg-Marquardt
%implementations in the NN Toolbox) since it is normally much faster.
%
%You can find more details in two papers by Eriksson J., Gulliksson M.,
%Lindstr鰉 P. and Wedin P-