Guidata not updating handles www united arab emirates dating 100


03-Dec-2019 18:52

But my line about the code not working was intended to refer to where Chocolate Warrior said that Rightia's code should work.

@Walter: Thanks for the clarification and finding the bug in my code.

In this example, main_callback is the callback of the "main" button which starts two secondary callbacks, each linked to their own pushbutton.

To be more specific: I have a Callback function (from a push button) and I want it to execute also the code from a different push button, so I call it inside this function in the way: But once I get out the variables included to handles in the Called Component are no longer available. 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.function load Data Set_Callback(h Object, eventdata, handles) % h Object handle to load Data Set (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) handles.train The Neural Network = true; [file Name, path To File] = uigetfile('*.m', 'Opening an training data set'); if ~isequal(file Name,0) && ~isequal(path To File,0) handles.current Training Data Set = importdata([path To File file Name]); % --- Executes on button press in train.

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function train_Callback(h Object, eventdata, handles) % h Object 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'); horizontal Net = timedelaynet(1:2,120); horizontal Inputs = 1; horizontal Layers = 2; horizontal Net.= 320; horizontal Net.= 1; % Connect the neural network horizontal Net.input Connect(1) = 1; horizontal Net.layer Connect(2,1) = 1; horizontal Net.output Connect(2) = 1; % Determine the transfer functions horizontal Net.layers.transfer Fcn = 'logsig'; horizontal Net.layers.transfer Fcn = 'logsig'; % Bias horizontal Connect = [1 ; 1]; % Initializations horizontal Net.Fcn = 'initnw'; horizontal Net.Fcn = 'initnw'; % Performance function horizontal Net.perform Fcn = 'mae'; % Training parameters horizontal Net.train Fcn = 'traingdm'; horizontal Net.train = 0.1; horizontal Net.train = 0.9; % Training the neural network %horizontal Net = train(horizontal Net,); % Vertical Neural Network % Create the neural network % log %disp('creating vertical neural network'); vertical Net = timedelaynet(1:2,160); vertical Inputs = 1; vertical Layers = 2; vertical Net.= 240; vertical Net.= 1; % Connect the neural network vertical Net.input Connect(1) = 1; vertical Net.layer Connect(2,1) = 1; vertical Net.output Connect(2) = 1; % Determine the transfer functions vertical Net.layers.transfer Fcn = 'logsig'; vertical Net.layers.transfer Fcn = 'logsig'; % Bias vertical Connect = [1 ; 1]; % Initializations vertical Net.Fcn = 'initnw'; vertical Net.Fcn = 'initnw'; % Performance function vertical Net.perform Fcn = 'mae'; % Training parameters vertical Net.train Fcn = 'traingdm'; vertical Net.train = 0.1; vertical Net.train = 0.9; % --- Outputs from this function are returned to the command line.

See [EDITED]: I had copied Rightia's code accidently, but Chocolate's code contained the required "handles=".