Linear Regression
Used for modeling the relationship between control loop variables and process parameters, enabling the identification of trends and patterns that can be leveraged to improve control strategies.
Support Vector Machines
A powerful algorithm employed for classification and regression tasks, helping to model complex relationships between control loop variables and process parameters.
Artificial Neural Networks
Inspired by biological neural networks, these algorithms excel at finding hidden patterns and relationships within large and complex datasets, enabling better control loop performance prediction and optimization.
Decision Trees
A method that recursively partitions data into subsets based on specific criteria, assisting in identifying the most influential factors impacting control loop performance and potential areas for improvement.
Time Series Analysis
A technique for analyzing time-dependent data, which allows for the detection of trends, seasonality, and cyclical patterns in control loop performance, aiding in forecasting and optimization efforts.
