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首页> 外文期刊>Journal of Volcanology and Geothermal Research >Thermodynamic evaluation of the Afyon geothermal district heating system by using neural network and neuro-fuzzy
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Thermodynamic evaluation of the Afyon geothermal district heating system by using neural network and neuro-fuzzy

机译：基于神经网络和模糊神经网络的阿菲永地热集中供热系统热力学评估

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摘要

In this study, energy and exergy analysis of the Afyon geothermal district heating system (AGDHS) in Afyon, Turkey using artificial neural network (ANN) and adaptive neuro-fuzzy (ANFIS) methods is carried out. Actual system data in the analysis of the AGDHS are used. The results of ANN are compared with ANFIS in which the same data sets are used. ANN model is slightly better than ANFIS in determining the energy and exergy rates. In addition, new formulations obtained from ANN are presented for the determination of the energy and exergy rates of the AGDHS. The Revalues obtained when unknown data were used in the networks were 0.999999847 and 0.99999997 for the energy and exergy rates respectively, which are very satisfactory.
机译：在这项研究中，使用人工神经网络（ANN）和自适应神经模糊（ANFIS）方法对土耳其阿菲永的阿菲永地热集中供热系统（AGDHS）进行了能量和火用分析。使用AGDHS分析中的实际系统数据。将ANN的结果与使用相同数据集的ANFIS进行比较。在确定能量和火用率方面，ANN模型比ANFIS稍好。此外，提出了从ANN获得的新配方，用于确定AGDHS的能量和火用率。当在网络中使用未知数据时，能量和火用率的重估值分别为0.999999847和0.99999997，这非常令人满意。

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