Estimating the semen quality from life style using fuzzy radial basis functions
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
International Association of Computer Science and Information Technology
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Infertility is a major problem that directly affects many people worldwide. In recent years, fertility rates decreased up to 15% in young men. Changing live conditions, stress level, environmental factors, nutritional habits play an important role on infertility. This paper suggests a novel method estimating semen quality from lifestyle, environmental factors and daily habits using the radial basis function neural networks. The accuracy of the suggested method measured as 90%. The result shows that the proposed method can be applied as a practical, fast and cheap alternative method to the laboratory tests. © 2018 International Association of Computer Science and Information Technology.
Açıklama
Anahtar Kelimeler
Classification, FCM, Fertility, Fuzzy radial basis functions, Neural networks
Kaynak
International Journal of Machine Learning and Computing
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
8
Sayı
1