Control indoor climate
| Autor: | A. V. Karpenko, I. Yu. Petrova |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Class (computer programming)
Artificial neural network Differential equation Simple (abstract algebra) Computer science 020209 energy Multi-agent system 0202 electrical engineering electronic engineering information engineering Microclimate 02 engineering and technology Industrial engineering Fuzzy logic Variety (cybernetics) |
| Zdroj: | IISA |
| DOI: | 10.1109/iisa.2017.8316432 |
| Popis: | This article describes the models of management climate in the room. Models belonging to the same class can handle a variety of microclimatic factors, depending on the needs of employees to determine the microclimate conditions. The article presents the neural network based schemes systems, fuzzy logic and neuro-fuzzy modeling, genetic algorithms. It describes the calculation formula for the described models and how they work from the most simple model consisting of differential equations to complex multi-agent systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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