fuz.m

The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB lan

function [out_hat]=fuz(comp,training_set,inputs)

%FUZ
%
%  [out_hat]=fuz(comp,training_set,inputs)
%
%	out_hat[no_data,1]
%
%	comp[1,1]
%	training_set[no_training_data,no_var+1]
%	inputs[no_data,no_var]
%
%	For a given input, Fuzzy returns the output 
%	of a (comp)_rule_Fuzzy_Model trained with 
%	the given training set.
%
%	The following global variable are required:                     
%		memb_fun:	'gaussian'/'triangular'                
% 		arch:		'weigthed'/'comb'                      
%		format_out:	'linear'/'constant'                       
%		init: 		'k_mean'/'hfc'

%______________________________________________________10 April 1996____

[centers,bases,par,bias]=fuz_id(comp,training_set);

out_hat=fuz_mod(inputs,centers,bases,par,bias);