This study integrates log-derived empirical formulas and the concept of the committee machine to develop an improved model for predicting permeability.

This study integrates log-derived empirical formulas and the concept of the committee machine to develop an improved model for predicting permeability.

The methodology is integration of empirical formulas, multiple regression and neuro-fuzzy in a committee machine. A committee machine, a new type of neural ...

This study integrates best empirical formula, best multiple regression formula and best intelligent model (neuro-fuzzy) in a committee machine to develop an ...

The methodology is integration of empirical formulas, multiple regression and neuro-fuzzy in a committee machine. A committee machine, a new type of neural ...

In this research, the CM was used for overall prediction of permeability by combining the results obtained from empirical formula, MRA and NF (Figure 4).

The results showed that the proposed model was more accurate than any single empirical formula (Chen and Lin, 2006). Sadegh built a supervised committee machine ...

Nov 1, 2011 · An improved and novel model for predicting permeability from conventional well log data is proposed and shows that the genetic algorithm ...

Dec 3, 2010 · A set of three empirical formulas, such as the Wyllie-Rose, Coates-Dumanoir, and porosity models to correlate reservoir well-logging information ...

A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain ...