Research Article
Selected Application Tools for Creating Models in the Matlab Environment
@INPROCEEDINGS{10.1007/978-3-031-15101-9_13, author={Stella Hrehova and Jozef Hus\^{a}r}, title={Selected Application Tools for Creating Models in the Matlab Environment}, proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 6th EAI International Conference, FABULOUS 2022, Virtual Event, May 4, 2022, Proceedings}, proceedings_a={FABULOUS}, year={2022}, month={9}, keywords={Data Visualisation Neural network Matlab Heating process}, doi={10.1007/978-3-031-15101-9_13} }- Stella Hrehova
Jozef Husár
Year: 2022
Selected Application Tools for Creating Models in the Matlab Environment
FABULOUS
Springer
DOI: 10.1007/978-3-031-15101-9_13
Abstract
The issue of analysis, data evaluation and prediction has resonated in every area for several years. With the introduction of the Industry 4.0 philosophy, data is becoming the centre of attention. The constant development of new measurement technologies and applications, as well as the possibilities of data storage and sharing, also contribute to the constant increase in the amount of data. Application developers who are already firmly established in the company are trying to develop new, user-friendly tools. These application are focused on advanced data evaluation and modelling capabilities. Matlab is one such application. Its advantage is the constant development of individual advanced tools - toolboxes specialized in various areas. The presented paper will describe selected data visualization options. We will also focus on the description of selected tools using machine learning techniques to find and design the best model for data prediction. The data is obtained through the SCADA user interface and relates to the issue of building heating. In the presented paper, we will point out the advanced data display and compare models created using the Regression Learner and Neural Net Fitting tools.
