Stochastic modeling approaches based on neural network and linear–nonlinear regression techniques for the determination of single droplet collection efficiency of countercurrent spray towers

Author： Yetilmezsoy Kaan   Saral Arslan  

Publisher： Springer Publishing Company

ISSN： 1420-2026

Source： Environmental Modeling and Assessment, Vol.12, Iss.1, 2007-02, pp. : 13-26

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A comparison of Multiple Non-linear regression and neural network techniques for sea surface salinity estimation in the tropical Atlantic ocean based on satellite data

By  

ESAIM: Proceedings and surveys, Vol. 49, Iss. issue, 2015-03 ,pp. : 65-77

Edp Sciences

Access to resources Recommend Favorite

Multiscale modeling, stochastic and asymptotic approaches for analyzing neural networks based on synaptic dynamics

By  

ESAIM: Proceedings and surveys, Vol. 47, Iss. issue, 2014-12 ,pp. : 36-54

Edp Sciences

Access to resources Recommend Favorite

Stochastic modeling of multicomponent adsorption kinetics with non-linear isotherm

By Lee S.   Mathews A.P.   Nassar R.  

Water Science and Technology, Vol. 33, Iss. 8, 1996-01 ,pp. : 135-143

Elsevier

Access to resources Recommend Favorite

Modeling of water temperatures based on stochastic approaches: case study of the Deschutes River

By Benyahya Loubna   St-Hilaire André   Quarda Taha B.M.J.   Bobée Bernard   Ahmadi-Nedushan Behrouz  

Journal of Environmental Engineering and Science, Vol. 6, Iss. 4, 2007-07 ,pp. : 437-448

NRC Research Press

Access to resources Recommend Favorite

Impacts of Meteorological Factors on PM10: Artificial Neural Networks (ANN) and Multiple Linear Regression (MLR) Approaches

By Özdemir Utkan   Taner Simge  

Environmental Forensics, Vol. 15, Iss. 4, 2014-10 ,pp. : 329-336

Elsevier

Access to resources Recommend Favorite