NEURO-FUZZY INFERENCE SYSTEM FOR CONTROL OF A THERMOELECTRIC BRAIN COOLER
Yazarlar (1)
Doç. Dr. Abdullah Hakan YAVUZ
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü | Özgün Makale |
| Makale Alt Türü | Diğer hakemli uluslarası dergilerde yayınlanan tam makale |
| Dergi Adı | Journal of Thermoelectricity |
| Dergi ISSN | 1607-8829 Scopus Dergi |
| Dergi Tarandığı Indeksler | SCOPUS |
| Makale Dili | İngilizce |
| Basım Tarihi | 01-2008 |
| Cilt No | 1 |
| Sayı | 4 |
| Sayfalar | 64 / 70 |
| Makale Linki | https://elibrary.ru/nvaodn |
| Özet |
| The object of the present study is to determine the most suitable method for control design for thermoelectric cooler headgear developed for brain hypothermia applications. Hypothermia refers to a medical treatment method protecting the brain in which the temperature of the brain drops below the level required for reducing oxygen consumption of tissues. The temperature of the headgear is controlled by current. We were examined by using Fuzzy Logic Control, one of the artificial intelligence techniques. Initial membership functions were determined and used for obtaining the data by an expert. ANFIS model were constructed on MATLAB medium and new membership functions were determined. The optimal results will be obtained by re-programming the system with these new membership functions. |
| Anahtar Kelimeler |
