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Application of response surface methodology and artificial neural network on pyrolysis of safflower seed press cake

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dc.contributor.authors Angin, D; Tiryaki, AE;
dc.date.accessioned 2020-02-26T08:46:05Z
dc.date.available 2020-02-26T08:46:05Z
dc.date.issued 2016
dc.identifier.citation Angin, D; Tiryaki, AE; (2016). Application of response surface methodology and artificial neural network on pyrolysis of safflower seed press cake. ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 38, 1061-1055
dc.identifier.issn 1556-7036
dc.identifier.uri https://doi.org/10.1080/15567036.2013.862585
dc.identifier.uri https://hdl.handle.net/20.500.12619/49920
dc.description.abstract In this study, mathematical correlation between the process variables and product yields for pyrolysis of safflower seed press cake (SPC) in fixed-bed reactor was investigated by using the response surface methodology (RSM) and artificial neural networks (ANNs). The RSM results showed that the second-order response model can be used to describe the relationship between the various factors and the response. Several feed-forward fully connected neural networks were investigated and optimal configuration of the ANN model was obtained. The results revealed that the ANN model could be considered as an alternative to RSM and practical modeling technique for the pyrolysis product yields.
dc.language English
dc.publisher TAYLOR & FRANCIS INC
dc.subject Environmental Sciences & Ecology
dc.title Application of response surface methodology and artificial neural network on pyrolysis of safflower seed press cake
dc.type Article
dc.identifier.volume 38
dc.identifier.startpage 1055
dc.identifier.endpage 1061
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/Gıda Mühendisliği Bölümü
dc.contributor.saüauthor Angın, Dilek
dc.contributor.saüauthor Eğrisöğüt Tiryaki, Aysun
dc.relation.journal ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
dc.identifier.wos WOS:000374910500004
dc.identifier.doi 10.1080/15567036.2013.862585
dc.identifier.eissn 1556-7230
dc.contributor.author Angın, Dilek
dc.contributor.author Eğrisöğüt Tiryaki, Aysun


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