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Volume 14

Global NEST Journal cover

Global NEST Journal

ISSN numbers
1790-7632
2241-777X

Volume

Volume number
14
Publication year
2012

Artificial neural networks predictive models. A case study: carbon and bromine concentrations prediction based on chlorination time

by

Farmaki E.G., Samios S.A., Thomaidis N.S., Golfinopoulos S., Efstathiou C.E. and Lekkas T.D.

General

Artificial neural networks (ANNs) are being used increasingly to predict water variables. This study offers an alternative approach to quantify the relationship between time of chlorination in potable water (due to convectional treatment procedure) and chlorination by-products concentration...

ANNs CBPs +3 more

Use of alternative fuels obtained from renewable sources in Brayton cycles

by

Escudero M., Jimenez A., Lopez I. and Rodriguez J.

General

Analysis and simulation of the behaviour of gas turbines for power generation using different nonconventional fuels obtained from different renewable sources are presented. Three biomass-tobiofuel processes are considered: anaerobic digestion of biomass (biogas), biomass gasification (synthesis gas)...

Renewable energy sources Bioenergy +4 more

Using an informational entropy-based metric as a diagnostic of flow duration to drive model parameter identification

by

Pechlivanidis I.G., Jackson B.M., McMillan H.K. and Gupta H.V.

General

Calibration of rainfall-runoff models is made complicated by uncertainties in data, and by the arbitrary emphasis placed on various magnitudes of the model residuals by most traditional measures of fit. Current research highlights the importance of driving model identification by assimilating...

calibration Model identification +5 more