Modeling of drying behaviors of mushroom in a solar assisted heat pump dryer by using artificial neural network | Güneþ destekli ýsý pompalý bir kurutucuda mantarýn kuruma davranýþlarýnýn yapay sinir aðý kullanýlarak modellenmesi
2014
Ãevik, S., Gazi University, Faculty of Technical Education, Ankara (Turkey) | Aktaþ, M., Gazi University, Faculty of Technical Education, Ankara (Turkey) | Ãzdemir, M.B., Gazi University, Faculty of Technical Education, Ankara (Turkey) | Doðan, H., Gazi University, Faculty of Technical Education, Ankara (Turkey)
anglais. Moisture content (MC), moisture ratio (MR) and drying rate (DR) which were obtained from experiments were modeled by using Levenberg-Marquardt (LM) the backpropagation learning algorithm and fermi transfer function with artificial neural networks (ANNs).
Afficher plus [+] Moins [-]turc. Deneylerden elde edilen nem içeriði (MC), ayrýlabilir nem oraný (MR) ve kurutma hýzý (DR) deðerleri Levenberg-Marquardt (LM) geri yayýlým öðrenme algoritmasý ve Fermi transfer fonksiyonu kullanýlarak yapay sinir aðlarý (YSA) ile modellenmiþtir.Böylece, farklý kurutma þartlarý için bu modelleme ile mantarýn kuruma davranýþlarý baþarýlý bir þekilde analiz edilebilir.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Ministry of Agriculture and Forestry, Department of Training and Publication, National AGRIS Center (Türkiye)
Découvrez la collection de ce fournisseur de données dans AGRIS