<abstract xmlns="http://www.w3.org/1999/xhtml">

In this article we present the way how to create a program in the Scilab-Xcos environment with which it can be dimensioned, mathematically modeled and simulated a ventilation installation using artificial intelligence for its implementation.
The mathematical equations implemented in the program with which the dimensioning and simulation are done are presented.
A neuro-fuzzy system was used to generate the fan characteristics.
</abstract>

In this article we present the way how to create a program in the Scilab-Xcos environment with which it can be dimensioned, mathematically modeled and simulated a ventilation installation using artificial intelligence for its implementation.
The mathematical equations implemented in the program with which the dimensioning and simulation are done are presented.
A neuro-fuzzy system was used to generate the fan characteristics.

Sizing and Simulation for Optimization of a Ventilation Installation Using Artificial Intelligence

Ovidius University Annals of Constanta - Series Civil Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

In this article we present the way how to create a program in the Scilab-Xcos environment with which it can be dimensioned, mathematically modeled and...

Sizing and Simulation for Optimization of a Ventilation Installation Using Artificial Intelligence

Data publikacji: 03 mar 2022

Zakres stron: 45 - 54

DOI: https://doi.org/10.2478/ouacsce-2021-0005

Słowa kluczowe
artificial intelligence, modelling, neuro-fuzzy, Scilab-Xcos, simulation, ventilation

© 2021 Petrică Daniel Toma, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Sizing and Simulation for Optimization of a Ventilation Installation Using Artificial Intelligence

Data publikacji: 03 mar 2022

Zakres stron: 45 - 54

DOI: https://doi.org/10.2478/ouacsce-2021-0005

Słowa kluczoweartificial intelligence, modelling, neuro-fuzzy, Scilab-Xcos, simulation, ventilation

© 2021 Petrică Daniel Toma, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
artificial intelligence, modelling, neuro-fuzzy, Scilab-Xcos, simulation, ventilation