Using radial basis artificial neural networks to predict radiation hazard indices in geological materials

Erzin, SELİN

doi:10.1007/s10661-024-12459-8

Using radial basis artificial neural networks to predict radiation hazard indices in geological materials

ENVIRONMENTAL MONITORING AND ASSESSMENT AN INTERNATIONAL JOURNAL DEVOTED TO PROGRESS IN THE USE OF MONITORING DATA IN ASSESSING ENVIRONMENTAL RISKS TO MAN AND THE ENVIRONMENT, cilt.196, ss.315-328, 2024 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 196
Basım Tarihi: 2024
Doi Numarası: 10.1007/s10661-024-12459-8
Dergi Adı: ENVIRONMENTAL MONITORING AND ASSESSMENT AN INTERNATIONAL JOURNAL DEVOTED TO PROGRESS IN THE USE OF MONITORING DATA IN ASSESSING ENVIRONMENTAL RISKS TO MAN AND THE ENVIRONMENT
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
Sayfa Sayıları: ss.315-328
Dokuz Eylül Üniversitesi Adresli: Evet