Neural Networks – MATLAB & Simulink

Neural network models are structured as a series of layers that reflect the
way the brain processes information. The regression neural network models
available in Statistics and Machine Learning Toolbox™ are fully connected, feedforward neural networks for which you can
adjust the size of the fully connected layers and change the activation
functions of the layers.

To train a regression neural network model, use the Regression Learner app. For greater
flexibility, train a regression neural network model using fitrnet in the command-line interface. After training, you can
predict responses for new data by passing the model and the new predictor data
to predict.

If you want to create more complex deep learning networks and have Deep Learning Toolbox™, you can try the Deep Network
Designer (Deep Learning Toolbox) app.