The approach consists of two main ingredients: 1) Hierarchical decomposition of a large matrix which requires aggregation (grouping) of degrees of freedom in different levels of hierarchy. This is ...

There are two files: (1) trainRegressionModel.m, and (2) createfitfig.m The first file creates the regression model (Robust Linear Regression) for the supplied training data. Here is the help file and ...

Enzyme kinetic parameters have been estimated using MATLAB software via the Wilkinson non-linear regression technique. The MATLAB script file written to implement this technique is short and very ...

Abstract: MATLAB is an elite language for specialized registering. It coordinates calculation, perception, and programming condition. In addition, it has powerful built-in routines that enable a very ...

This chapter presents the implementation of a machine learning regression model on FPGA using MATLAB, Simulink, and Vivado. The study utilizes an admission dataset from Kaggle to predict university ...