Author of the publication

Application of adaptive neuro-fuzzy methodology for estimating building energy consumption

, , , , , , and . Renewable and Sustainable Energy Reviews, (2016)cited By 7.
DOI: 10.1016/j.rser.2015.09.062

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Potential of adaptive neuro-fuzzy inference system for evaluation of drought indices, , , , and . Stochastic Environmental Research and Risk Assessment, 29 (8): 1993-2002 (2015)cited By 9.An automated system for skelet al maturity assessment by extreme learning machines, , , , and . PLoS ONE, (2015)cited By 8.Diagnosing breast cancer with an improved artificial immune recognition system, , , , , and . Soft Computing, 20 (10): 4069-4084 (2016)cited By 0.Application of extreme learning machine for prediction of aqueous solubility of carbon dioxide, , , , , , and . Environmental Earth Sciences, 75 (3): 1-11 (2016)cited By 0.A multi-objective evolutionary algorithm for energy management of agricultural systems - A case study in Iran, , , , , , and . Renewable and Sustainable Energy Reviews, (2015)cited By 13.The use of SVM-FFA in estimating fatigue life of polyethylene terephthalate modified asphalt mixtures, , , , , and . Measurement: Journal of the International Measurement Confederation, (2016)cited By 2.Influence of clay particles on Al<inf>2</inf>O<inf>3</inf> and TiO<inf>2</inf> nanoparticles transport and retention through limestone porous media: measurements and mechanisms, , , , and . Journal of Nanoparticle Research, (2015)cited By 8.Surface roughness prediction by extreme learning machine constructed with abrasive water jet, , , , , , , and . Precision Engineering, (2016)cited By 10.Potential of support vector regression for optimization of lens system, , , , , , and . CAD Computer Aided Design, (2015)cited By 3.Using ANFIS for selection of more relevant parameters to predict dew point temperature, , , , and . Applied Thermal Engineering, (2016)cited By 8.