Assessment of porosity using spatial correlation-based radial basis function and neuro-fuzzy inference system
Küçük Resim Yok
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer London Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Aquifer porosity indicates the storage groundwater capacity and groundwater quality. It may be measured via different techniques. This paper presents a novel spatial methodology based on radial basis function (RBF) and neuro-fuzzy inference system for modelling the porosity. Use of the point cumulative semimadogram in RBF as a spatial measure is a novel contribution. In addition, the methodology examines the use of a neural network-based fuzzy inference system for porosity estimation. Performance comparisons with conventional methods show that the proposed spatial model has high modelling and generalization capability.
Açıklama
Anahtar Kelimeler
Porosity, Point semimadogram, Neuro-fuzzy inference, Radial basis function
Kaynak
Neural Computing & Applications
WoS Q Değeri
Q4
Scopus Q Değeri
Q1
Cilt
19
Sayı
3
