A study to predict pyrolytic behaviors of refuse-derived fuel (RDF): Artificial neural network application

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• 作者：Ö ; zge Ç ; epelioğullar^a ; ^{cepeliogullar@itu.edu.tr} ; İlhan Mutlu^b ; ^{mutlui@itu.edu.tr} ; Serdar Yaman^a ; ^{yamans@itu.edu.tr} ; Hanzade Haykiri-Acma^a ; ^{hanzade@itu.edu.tr}
• 关键词：RDF ; Pyrolysis ; Artificial neural network (ANN) ; Prediction ; TGA ; Characterization
• 刊名：Journal of Analytical and Applied Pyrolysis
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：122
• 期：Complete
• 页码：84-94
• 全文大小：2100 K
• 卷排序：122

文摘

First paper about ANN application in the prediction of pyrolytic behaviors of RDF. Optimization of the network in terms of neuron&train number and transfer function. Testing the prediction of the model for new situations by an unseen data set. Good agreement between experimental and predicted values.