Selection of the most influential flow and thermal parameters for predicting the efficiency of activated carbon filters using neuro-fuzzy technique
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- 作者：Miomir Raosa ; Dalibor Petkovićb ; dalibortc@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Milan Protića ; Milena Jovanovića ; Du&scaron ; an Markovićb
- 关键词：ANFIS ; Prediction ; Flow and thermal parameters ; Activated carbon ; Filter efficiency
- 刊名：Building and Environment
- 出版年：2016
- 出版时间：1 August 2016
- 年：2016
- 卷：104
- 期：Complete
- 页码：68-75
- 全文大小：2277 K
文摘
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Influence of flow-thermal parameters on the performance of the activated carbon filter.
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Filter-ventilation system was analyzed.
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Adaptive neuro fuzzy inference system was applied to the data.
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To select the most influential parameters for the adsorption process in ventilation filtration system.
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The most influential parameter for prediction of outlet concentrations of acetone is temperature.