Math, Statistics,and Optimization

Classification Learner
Train models to classify data using supervised machine learning
Curve Fitting
Fit curves and surfaces to data
Distribution Fitting
Fit probability distributions to data
MBC Model Fitting
Create experimental designs and statistical models for model-based calibration
MBC Optimization
Generate optimal lookup tables for model-based calibration
MuPAD Notebook
Perform and document symbolic calculations
Neural Net Clustering
Solve clustering problem using self-organizing map (SOM) networks
Neural Net Fitting
Solve fitting problem using two-layer feed-forward networks
Neural Net Pattern Recognition
Solve pattern recognition problem using two-layer feed-forward networks
Neural Net Time Series
Solve nonlinear time series problem using dynamic neural networks
Set up and solve optimization problems
Solve partial differential equations on 2-D regions