Now showing items 1-5 of 5
Different types of learning algorithms of artificial neural network (ANN) models for prediction of gross calorific value (GCV) of coals
(ACADEMIC JOURNALS, 2010)
Correlations are very significant from earliest days, in some cases, it is essential as it is difficult to measure the amount directly, and in other cases, it is desirable to ascertain the results with other tests through ...
Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils
(PERGAMON-ELSEVIER SCIENCE LTD, 2011)
In the recent years, new techniques such as; artificial neural networks and fuzzy inference systems were employed for developing of the predictive models to estimate the needed parameters. Soft computing techniques are now ...
On the Use of Conventional and Soft Computing Models for Prediction of Gross Calorific Value (GCV) of Coal
(TAYLOR & FRANCIS INC, 2011)
Gross calorific value (GCV) is an important characteristic of coal and organic shale; the determination of GCV, however, is difficult, time-consuming, and expensive and is also a destructive analysis. In this article, the ...
Neural computing models for prediction of permeability coefficient of coarse-grained soils
Correlations are very significant from the earliest days; in some cases, it is essential as it is difficult to measure the amount directly, and in other cases it is desirable to ascertain the results with other tests through ...
Forecasting of natural gas consumption with neural network and neuro fuzzy system
(SILA SCIENCE, 2011)
The prediction of natural gas consumption is crucial for Turkey which follows foreign-dependent policy in point of providing natural gas and whose stock capacity is only 5% of internal total consumption. Prediction accuracy ...