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Results 1 to 25 of 34680

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GA, MR, FFNN, PNN and GMM based models for automatic text summarizationMOHAMED ABDEL FATTAH; FUJI REN.Computer speech & language (Print). 2009, Vol 23, Num 1, pp 126-144, issn 0885-2308, 19 p.Article

Comparison of WAVENET and ANN for predicting the porosity obtained from well log dataSHOKOOH SALJOOGHI, B; HEZARKHANI, A.Journal of petroleum science & engineering. 2014, Vol 123, pp 172-182, issn 0920-4105, 11 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

A practical sub-space adaptive filterZAKNICH, A.Neural networks. 2003, Vol 16, Num 5-6, pp 833-839, issn 0893-6080, 7 p.Conference Paper

Modelling Hebbian cell assemblies comprised of cortical neuronsLANSNER, A; FRANSEN, E.Network (Bristol. Print). 1992, Vol 3, Num 2, pp 105-119, issn 0954-898XArticle

Extension neural network and its applicationsWANG, M. H; HUNG, C. P.Neural networks. 2003, Vol 16, Num 5-6, pp 779-784, issn 0893-6080, 6 p.Conference Paper

Estimation of electrical power consumption in subway station design by intelligent approachLEUNG, Philip C. M; LEE, Eric W. M.Applied energy. 2013, Vol 101, pp 634-643, issn 0306-2619, 10 p.Article

The application of artificial neural networks to the characterization of interior noise booming in passenger carsLEE, S.-K; CHAE, H.-C.Proceedings of the Institution of Mechanical Engineers. Part D, Journal of automobile engineering. 2004, Vol 218, Num 1, pp 33-42, issn 0954-4070, 10 p.Article

Simple and conditioned adaptive behavior from Kalman filter trained recurrent networksFELDKAMP, Lee A; PROKHOROV, Danil V; FELDKAMP, Timothy M et al.Neural networks. 2003, Vol 16, Num 5-6, pp 683-689, issn 0893-6080, 7 p.Conference Paper

The Automated Dunham Classification of Carbonate Rocks Through Image Processing and an Intelligent ModelGHIASI-FREEZ, J; HONARMAND-FARD, S; ZIAII, M et al.Petroleum science and technology. 2014, Vol 32, Num 1-4, pp 100-107, issn 1091-6466, 8 p.Article

Prediction of hydrate formation temperature by both statistical models and artificial neural network approachesZAHEDI, Gholamreza; KARAMI, Zohre; YAGHOOBI, Hamed et al.Energy conversion and management. 2009, Vol 50, Num 8, pp 2052-2059, issn 0196-8904, 8 p.Article

Modeling of a 1000 MW power plant ultra super-critical boiler system using fuzzy-neural network methodsLIU, X. J; KONG, X. B; HOU, G. L et al.Energy conversion and management. 2013, Vol 65, pp 518-527, issn 0196-8904, 10 p.Article

Neural network based unified particle swarm optimization for prediction of asphaltene precipitationALI AHMADI, Mohammad.Fluid phase equilibria. 2012, Vol 314, pp 46-51, issn 0378-3812, 6 p.Article

Estimation of monthly-mean daily global solar radiation based on MODIS and TRMM productsJUN QIN; ZHUOQI CHEN; KUN YANG et al.Applied energy. 2011, Vol 88, Num 7, pp 2480-2489, issn 0306-2619, 10 p.Article

An integrated hybrid neural system for noise filtering, simulation and control of a fed-batch recombinant fermentationPATNAIK, P. R.Biochemical engineering journal. 2003, Vol 15, Num 3, pp 165-175, issn 1369-703X, 11 p.Article

A multistage, multimethod approach for automatic detection and classification of epileptiform EEGHE SHENG LIU; TONG ZHANG; FU SHENG YANG et al.IEEE transactions on biomedical engineering. 2002, Vol 49, Num 12, pp 1557-1566, issn 0018-9294, 10 p., 2Article

Clustering facilitated web services discovery model based on supervised term weighting and adaptive metric learningLEI CHEN; GENG YANG; WEI ZHU et al.International journal of Web engineering and technology. 2013, Vol 8, Num 1, pp 58-80, issn 1476-1289, 23 p.Article

Modelling a solar-assisted air-conditioning system installed in CIESOL building using an artificial neural networkROSIEK, S; BATLLES, F. J.Renewable energy. 2010, Vol 35, Num 12, pp 2894-2901, issn 0960-1481, 8 p.Article

A novel approach to the integration of GPS and INS using recurrent neural networks with evolutionary optimization techniquesMALLESWARAN, M; VAIDEHI, V; SIVASANKARI, N et al.Aerospace science and technology (Imprimé). 2014, Vol 32, pp 169-179, issn 1270-9638, 11 p.Article

An artificial neural network approach to predict asphaltene deposition test resultNAFICE RASULI NOKANDEH; KHISHVAND, Mahdi; NASERI, Ali et al.Fluid phase equilibria. 2012, Vol 329, pp 32-41, issn 0378-3812, 10 p.Article

Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A reviewMOHANRAJ, M; JAYARAJ, S; MURALEEDHARAN, C et al.Renewable & sustainable energy review. 2012, Vol 16, Num 2, pp 1340-1358, issn 1364-0321, 19 p.Article

Artificial neural network analysis of Moroccan solar potentialOUAMMI, Ahmed; ZEJLI, Driss; DAGDOUGUI, Hanane et al.Renewable & sustainable energy review. 2012, Vol 16, Num 7, pp 4876-4889, issn 1364-0321, 14 p.Article

Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variablesKANKAL, Murat; AKPINAR, Adem; KÖMÜRCÜ, Murat Ihsan et al.Applied energy. 2011, Vol 88, Num 5, pp 1927-1939, issn 0306-2619, 13 p.Article

Training reformulated radial basis function neural networks capable of identifying uncertainty in data classificationKARAYIANNIS, Nicolaos B; YAOHUA XIONG.IEEE transactions on neural networks. 2006, Vol 17, Num 5, pp 1222-1234, issn 1045-9227, 13 p.Article

The Prediction of Permeability Using an Artificial Neural Network SystemPAZUKI, G. R; NIKOOKAR, M; DEHNAVI, M et al.Petroleum science and technology. 2012, Vol 30, Num 17-20, pp 2108-2113, issn 1091-6466, 6 p.Article

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