Guide data isn't updating the "handles" variable

I'll appreciate so much any help, please. I build a GUI with a simple idea: there is a button where the user can load a data set and another button where a logic is applyed above that data. This last logic generate a result that has to be threw out from the GUI, before it closed.

I mean, the "train_Callback" function generate a result and I record that result in handles. At the end of the function you can see the call "guidata(hObject, handles);", but when I try to use that at "training_center_OutputFcn" it doesn't exist!

Someone can help me?

This is the code:

function varargout = training_center(varargin)
% TRAINING_CENTER MATLAB code for training_center.fig
%      TRAINING_CENTER, by itself, creates a new TRAINING_CENTER or raises the existing
%      singleton*.
%
%      H = TRAINING_CENTER returns the handle to a new TRAINING_CENTER or the handle to
%      the existing singleton*.
%
%      TRAINING_CENTER('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in TRAINING_CENTER.M with the given input arguments.
%
%      TRAINING_CENTER('Property','Value',...) creates a new TRAINING_CENTER or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before training_center_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to training_center_OpeningFcn via varargin.
%
%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one
%      instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES

% Edit the above text to modify the response to help training_center

% Last Modified by GUIDE v2.5 25-Jul-2012 22:20:48

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @training_center_OpeningFcn, ...
                   'gui_OutputFcn',  @training_center_OutputFcn, ...
                   'gui_LayoutFcn',  [] , ...
                   'gui_Callback',   []);
if nargin && ischar(varargin{1})
    gui_State.gui_Callback = str2func(varargin{1});
end

if nargout
    [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
    gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT

% --- Executes just before training_center is made visible.
function training_center_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% varargin   command line arguments to training_center (see VARARGIN)

% Choose default command line output for training_center
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes training_center wait for user response (see UIRESUME)
%uiwait(handles.figure1);

% --- Executes on button press in loadDataSet.
function loadDataSet_Callback(hObject, eventdata, handles)
% hObject    handle to loadDataSet (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
handles.trainTheNeuralNetwork = true;
[fileName, pathToFile] = uigetfile('*.m', 'Opening an training data set');
if ~isequal(fileName,0) && ~isequal(pathToFile,0)
    handles.currentTrainingDataSet = importdata([pathToFile fileName]);

      % Save information about actual file
      handles.currentFile.fileName = fileName;
      handles.currentFile.pathToFile = pathToFile;

      % Controls in GUI and Flags
      set(handles.train,'enable','on');
      set(handles.statusLabel,'string',[fileName ' training data set was loaded. Now, press "Train".']);
  end

% Update handles structure
guidata(hObject, handles);

% --- Executes on button press in train.
function train_Callback(hObject, eventdata, handles)
% hObject    handle to train (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Horizontal Neural Network
% Create the neural network
% log
%disp('creating horizontal neural network');
horizontalNet = timedelaynet(1:2,120);
horizontalNet.numInputs = 1;
horizontalNet.numLayers = 2;
horizontalNet.inputs{1}.size = 320;
horizontalNet.layers{2}.size = 1;
% Connect the neural network
horizontalNet.inputConnect(1) = 1;
horizontalNet.layerConnect(2,1) = 1;
horizontalNet.outputConnect(2) = 1;
% Determine the transfer functions
horizontalNet.layers{1}.transferFcn = 'logsig';
horizontalNet.layers{2}.transferFcn = 'logsig';
% Bias
horizontalNet.biasConnect = [1 ; 1];
% Initializations
horizontalNet.layers{1}.initFcn = 'initnw';
horizontalNet.layers{2}.initFcn = 'initnw';
% Performance function
horizontalNet.performFcn = 'mae';
% Training parameters
horizontalNet.trainFcn = 'traingdm';
horizontalNet.trainParam.lr = 0.1;
horizontalNet.trainParam.mc = 0.9;
% Training the neural network
%horizontalNet = train(horizontalNet,);

% Vertical Neural Network
% Create the neural network
% log
%disp('creating vertical neural network');
verticalNet = timedelaynet(1:2,160);
verticalNet.numInputs = 1;
verticalNet.numLayers = 2;
verticalNet.inputs{1}.size = 240;
verticalNet.layers{2}.size = 1;
% Connect the neural network
verticalNet.inputConnect(1) = 1;
verticalNet.layerConnect(2,1) = 1;
verticalNet.outputConnect(2) = 1;
% Determine the transfer functions
verticalNet.layers{1}.transferFcn = 'logsig';
verticalNet.layers{2}.transferFcn = 'logsig';
% Bias
verticalNet.biasConnect = [1 ; 1];
% Initializations
verticalNet.layers{1}.initFcn = 'initnw';
verticalNet.layers{2}.initFcn = 'initnw';
% Performance function
verticalNet.performFcn = 'mae';
% Training parameters
verticalNet.trainFcn = 'traingdm';
verticalNet.trainParam.lr = 0.1;
verticalNet.trainParam.mc = 0.9;

% Output the neural network
handles.nnOutput = {horizontalNet, verticalNet};

% Update handles structure
guidata(hObject, handles);

% --- Outputs from this function are returned to the command line.
function varargout = training_center_OutputFcn(hObject, eventdata, handles) 
% varargout  cell array for returning output args (see VARARGOUT);
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Controls in GUI and Flags
%set(handles.train,'enable','off');
%set(handles.statusLabel,'string','The neural network was trained successfully');

% Get default command line output from handles structure
if isfield(handles,'nnOutput')
    varargout{1} = handles.nnOutput;
else
    varargout{1} = hObject;
end