Ağ Tabanlı Bulanık Mantık Çıkarım Sistemi (ANFIS) ve Yuvalanan Gri Model (RGPM) Yöntemleriyle Kurutucu Potansiyelinin Belirlenmesi
Yazarlar (3)
Doç. Dr. Muhammed TAŞOVA
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Dr. Öğr. Üyesi Müberra ERDOĞAN KARAAĞAÇLI
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
İstanbul Teknik Üniversitesi, Türkiye
| Makale Türü | Özgün Makale |
| Makale Alt Türü | Diğer hakemli uluslarası dergilerde yayınlanan tam makale |
| Dergi Adı | Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
| Dergi ISSN | 1300-5413 |
| Dergi Tarandığı Indeksler | TR DİZİN |
| Makale Dili | Türkçe |
| Basım Tarihi | 08-2020 |
| Cilt No | 25 |
| Sayı | 2 |
| Sayfalar | 49 / 55 |
| Makale Linki | https://dergipark.org.tr/tr/download/article-file/1267739 |
| Özet |
| Drying is a process where the high moisture content of agricultural materials can be stored without deterioration to a critical moisture level in the range of 7-15%. It is known in the literature that many drying machines specific to different products or product groups have been developed in the field of drying. However, manufacturers do not pay much attention to this in the drying process and generally use the drying machines in common. In this study, Turkey's Statistical Agency (TSA) of using the numbers in dryer years 2004-2018 and for our country and the Department of the Central Black Sea; The potential change in the number of future drying machines has been estimated by using applied network based fuzzy logic inference system (ANFIS) and nested gray model (RGPM) methods. According to the findings, the number of possible drying machines for our country for 2019, 2020 and 2021 was determined as … |
| Anahtar Kelimeler |
