Hi,
I understand that you are trying to integrate a neural network simulation into a MATLAB GUI, and while your code runs correctly in an M-file, you are encountering issues when using it within the GUI environment.
I assume your GUI is either built using GUIDE or App Designer, and the neural network code may not be functioning due to issues with variable scope, callback execution, or figure/data sharing.
In order to run a neural network simulation inside a MATLAB GUI, you can follow the below steps:
Step 1: Load or train your neural network model
Ensure the model is either trained beforehand and loaded in the GUI, or trained as part of a GUI callback function. Store it in a persistent or shared variable (e.g., handles or app properties).
Step 2: Prepare input data from the GUI
Collect the required input from GUI elements (like text boxes or sliders). Convert these inputs into the proper format expected by the network (usually a numeric matrix or vector).
Step 3: Call the network inside a callback function
Use a GUI button or event callback to pass the input data through the network. This is where you use net(input) for prediction or simulation.
Step 4: Display output in the GUI
Once you get the network output, show the result using GUI elements like uitable, axes, or text fields, depending on your needs.
Step 5: Use shared data management properly
If using GUIDE, update the handles structure with guidata(hObject, handles) after storing or modifying any variables. For App Designer, use app properties.
Refer to these resources for more guidance:
MATLAB GUI (GUIDE): https://www.mathworks.com/help/matlab/creating_guis/about-the-gui-development-environment.html
App Designer: https://www.mathworks.com/help/matlab/app-designer.html
Neural Network Toolbox: https://www.mathworks.com/help/deeplearning/ug/train-and-apply-multilayer-neural-networks.html
Hope this helps!
