%NEURC Automatic Neural Network Classifier% % 	W = neurc(A,n)% % Automatic neural network classifier based on a feedforward network % with n hidden units (default n = 5) and a Levenberg-Marquardt % optimization. Training is stopped when the performance on an % artificially generated tuning set of 1000 samples per class based % on k-nearest neighbour interpolation does not improve anymore. The % default value of n is 5. In future version this might be replaced % by an automaticly optimised value.% % See also datasets, mappings, lmnc, gendatk% Copyright: R.P.W. Duin, duin@ph.tn.tudelft.nl% Faculty of Applied Physics, Delft University of Technology% P.O. Box 5046, 2600 GA Delft, The Netherlandsfunction w = neurc(a,n);if nargin == 1, n = 5; endt = gendatt(a,1000,'knn',2,1);w = lmnc(a,n,[],[],t);return