function [a,b,c,d,e,f,g,h] = traintr(i,j,k,l,m,n,o,p,q,r,s,t,u,v,x,y,z)%TRAINTR trains a feed-forward network with 2 or 3 hidden layers%using the 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.%%TRAINTR is intended for problems so small that explicit storing of%the corresponding Jacobian matrix is possible.%For lager problems where the Jacobian can't be stored in main memory, there%is a function TRAINLTR that uses a truncated Gauss-Newton method%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-