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Results 1 to 25 of 427

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Asphaltene deposition prediction using adaptive neuro-fuzzy models based on laboratory measurementsSALAHSHOOR, Karim; ZAKERI, Sepide; MAHDAVI, Sedigheh et al.Fluid phase equilibria. 2013, Vol 337, pp 89-99, issn 0378-3812, 11 p.Article

A hybrid PSO―ANFIS approach for short-term wind power prediction in PortugalPOUSINHO, H. M. I; MENDES, V. M. F; CATALAO, J. P. S et al.Energy conversion and management. 2011, Vol 52, Num 1, pp 397-402, issn 0196-8904, 6 p.Article

Intelligent feedforward control and payload estimation for a two-link robotic manipulatorNHO, Hyuk C; MECKL, Peter.IEEE/ASME transactions on mechatronics. 2003, Vol 8, Num 2, pp 277-283, issn 1083-4435, 7 p.Article

PVT properties prediction using hybrid genetic-neuro-fuzzy systemsKHOUKHI, Amar; ALBUKHITAN, Saeed.International journal of oil, gas and coal technology (Print). 2011, Vol 4, Num 1, pp 47-63, issn 1753-3309, 17 p.Article

Application of adaptive neuro-fuzzy inference system for prediction of minimum miscibility pressureMOHAMMADJAVAD AMERI SHAHRABI; IMAN RAHIMZADEH KIVI; AKBARI, Mohammadreza et al.International journal of oil, gas and coal technology (Print). 2014, Vol 7, Num 1, pp 68-84, issn 1753-3309, 17 p.Article

A new strategy for predicting short-term wind speed using soft computing modelsHAQUE, Ashraf U; MANDAL, Paras; KAYE, Mary E et al.Renewable & sustainable energy review. 2012, Vol 16, Num 7, pp 4563-4573, issn 1364-0321, 11 p.Article

dSPACE based adaptive neuro-fuzzy controller of grid interactive inverterALTIN, Necmi; SEFA, Ibrahim.Energy conversion and management. 2012, Vol 56, pp 130-139, issn 0196-8904, 10 p.Article

Adaptive neuro-fuzzy approach for wind turbine power coefficient estimationPETKOVIC, Dalibor; COJBASIC, Zarko; NIKOLIC, Vlastimir et al.Renewable & sustainable energy review. 2013, Vol 28, pp 191-195, issn 1364-0321, 5 p.Article

Identification and robust water level control of horizontal steam generators using quantitative feedback theorySAFARZADEH, O; KHAKI-SEDIGH, A; SHIRANI, A. S et al.Energy conversion and management. 2011, Vol 52, Num 10, pp 3103-3111, issn 0196-8904, 9 p.Article

Wavelet and neuro-fuzzy conjunction model for predicting water table depth fluctuationsKISI, Ozgur; SHIRI, Jalal.Hydrology research (Print). 2012, Vol 43, Num 3, pp 286-300, issn 1998-9563, 15 p.Article

The Development of a Robust ANFIS Model for Predicting Minimum Miscibility PressureRAHIMZADEH KIVI, I; AMERI SHAHRABI, M. J; AKBARI, M. R et al.Petroleum science and technology. 2013, Vol 31, Num 17-20, pp 2039-2046, issn 1091-6466, 8 p.Article

The nonlinear effect of green innovation on the corporate competitive advantageCHEN, Yu-Shan; CHANG, Ke-Chiun.Quality & quantity. 2013, Vol 47, Num 1, pp 271-286, issn 0033-5177, 16 p.Article

Neuro-fuzzy system to predict permeability and porosity from well log data: A case study of Hassi R'Mel gas field, AlgeriaAÏFA, Tahar; BAOUCHE, Rafik; BADDARI, Kamel et al.Journal of petroleum science & engineering. 2014, Vol 123, pp 217-229, issn 0920-4105, 13 p.Article

On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learningMIZUTANI, Eiji; DEMMEL, James W.Neural networks. 2003, Vol 16, Num 5-6, pp 745-753, issn 0893-6080, 9 p.Conference Paper

Performance analysis of single-stage refrigeration system with internal heat exchanger using neural network and neuro-fuzzySAHIN, Arzu Sencan.Renewable energy. 2011, Vol 36, Num 10, pp 2747-2752, issn 0960-1481, 6 p.Article

Quantitative structure-activity relationship study of serotonin (5-HT7) receptor inhibitors using modified ant colony algorithm and adaptive neuro-fuzzy interference system (ANFIS)JALALI-HERAVI, M; ASADOLLAHI-BABOLI, M.European journal of medicinal chemistry. 2009, Vol 44, Num 4, pp 1463-1470, issn 0223-5234, 8 p.Article

Protection of the environment by using innovative greening technologies in land transportNAJJAR, Yousef S. H.Renewable & sustainable energy review. 2013, Vol 26, pp 480-491, issn 1364-0321, 12 p.Article

Neuro-fuzzy modeling in bankruptcy predictionVLACHOS, D; TOLIAS, Y. A.Yugoslav journal of operations research. 2003, Vol 13, Num 2, pp 165-174, issn 0354-0243, 10 p.Article

Parameter design on the multi-objectives of PEM fuel cell stack using an adaptive neuro-fuzzy inference system and genetic algorithmsLI, Chuan-Tien; WU, Sheng-Ju; YU, Wei-Lung et al.International journal of hydrogen energy. 2014, Vol 39, Num 9, pp 4502-4515, issn 0360-3199, 14 p.Article

Neuro-Fuzzy Modeling for the Prediction of Below-Bubble-Point ViscositySALAM, K. K; ARAROMI, D; IKIENSIKIMAMA, S. S et al.Petroleum science and technology. 2011, Vol 29, Num 17-20, pp 1741-1752, issn 1091-6466, 12 p.Article

Wavelet and neuro-fuzzy conjunction model for streamflow forecastingKISI, Özgür; PARTAL, Turgay.Hydrology research (Print). 2011, Vol 42, Num 6, pp 447-456, issn 1998-9563, 10 p.Article

TOC Determination in Source Rocks Using GR Spectrometry and Neuro-Fuzzy Techniques in a Zagros Basin OilfieldPARYAB, M; GHADAMI, N.Petroleum science and technology. 2013, Vol 31, Num 9-12, pp 1268-1274, issn 1091-6466, 7 p.Article

ANFIS modelling of the performance and emissions of a diesel engine using diesel fuel and biodiesel blendsHOSOZ, Murat; HUSEYIN METIN ERTUNC; KARABEKTAS, Murat et al.Applied thermal engineering. 2013, Vol 60, Num 1-2, pp 24-32, issn 1359-4311, 9 p.Article

QSPR prediction of flash point of esters by means of GI~A and ANFISKHAJEH, Aboozar; MODARRESS, Hamid.Journal of hazardous materials (Print). 2010, Vol 179, Num 1-3, pp 715-720, issn 0304-3894, 6 p.Article

Predicting the Longitudinal Dispersion Coefficient Using Support Vector Machine and Adaptive Neuro-Fuzzy Inference System TechniquesNOORI, Roohollah; KARBASSI, Abdulreza; FAROKHNIA, Ashkan et al.Environmental engineering science. 2009, Vol 26, Num 10, pp 1503-1510, issn 1092-8758, 8 p.Article

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