Using statistical and artificial neural networks to predict the permeability of loosely packed granular materials

Porosity and Permeability Prediction Based on Computational Intelligences as Artificial Neural Networks (ANNs) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) in Southern Carbonate Reservoir of Iran

(2013) H. Zargari et al.   PETROLEUM SCIENCE AND TECHNOLOGY

The Prediction of Permeability Using an Artificial Neural Network System

(2012) G. R. Pazuki et al.   PETROLEUM SCIENCE AND TECHNOLOGY

Can filter cake porosity be estimated based on the Kozeny–Carman equation?

(2012) Chi Tien et al.   POWDER TECHNOLOGY

Artificial neural network for permeability damage prediction due to sulfate scaling

(2011) Reza Zabihi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Artificial neural networks modeling of contaminated water treatment processes by homogeneous and heterogeneous nanocatalysis

(2010) A.R. Khataee et al.   JOURNAL OF MOLECULAR CATALYSIS A-CHEMICAL

Development of a neural fuzzy system for advanced prediction of dew point pressure in gas condensate reservoirs

(2009) Saeed Nowroozi et al.   FUEL PROCESSING TECHNOLOGY

An approach based on neural networks for estimation and generalization of crossflow filtration processes

(2007) Ivan Nunes da Silva et al.   APPLIED SOFT COMPUTING

A comparison of neural network and multiple regression analysis in modeling capital structure

(2007) Hsiao-Tien Pao   EXPERT SYSTEMS WITH APPLICATIONS