Pascal and Francis Bibliographic Databases

Help

Search results

Your search

kw.\*:("Artificial neural network model")

Publication Year[py]

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Discipline (document) [di]

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Author Country

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Results 1 to 19 of 19

  • Page / 1
Export

Selection :

  • and

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

Real-time implementation of a neural model-based self-tuning PID strategy for oxygen stoichiometry control in PEM fuel cellDAMOUR, C; BENNE, M; LEBRETON, C et al.International journal of hydrogen energy. 2014, Vol 39, Num 24, pp 12819-12825, issn 0360-3199, 7 p.Article

Fast NMPC scheme of a 10 kW commercial PEMFCDAMOUR, C; BENNE, M; KADJO, J.-J. A et al.International journal of hydrogen energy. 2013, Vol 38, Num 18, pp 7407-7413, issn 0360-3199, 7 p.Article

Designing cold rolled IF steel sheets with optimized tensile properties using ANN and GAMOHANTY, Itishree; BHATTACHARJEE, Debashish; DATTA, Shubhabrata et al.Computational materials science. 2011, Vol 50, Num 8, pp 2331-2337, issn 0927-0256, 7 p.Article

Moisture sorption isotherms and isosteric heat of sorption of coffee in different processing levelsCORREA, Paulo C; GONELI, André L. D; JUNIOR, Paulo C. A et al.International journal of food science & technology. 2010, Vol 45, Num 10, pp 2016-2022, issn 0950-5423, 7 p.Article

Desorption isotherms and thermodynamic properties of sweet corn cultivars (Zea mays L.)HORTA DE OLIVEIRA, Gabriel Henrique; CORREA, Paulo Cesar; FONTES ARAUJO, Eduardo et al.International journal of food science & technology. 2010, Vol 45, Num 3, pp 546-554, issn 0950-5423, 9 p.Article

A review and classification of the existing models of cyanobacteriaGUVEN, Basak; HOWARD, Alan.Progress in physical geography. 2006, Vol 30, Num 1, pp 1-24, issn 0309-1333, 24 p.Article

Application of a degree-day snow depth model to a swiss glacierised catchment to improve neural network discharge forecastsSCHUMANN, G; LAUENER, G.Nordic hydrology. 2005, Vol 36, Num 2, pp 99-111, issn 0029-1277, 13 p.Article

Separation of heavy gases from light gases using synthesized PDMS nano-composite membranes: Experimental and neural network modelingFARNO, Ehsan; GHADIMI, Ali; KASIRI, Noorollah et al.Separation and purification technology. 2011, Vol 81, Num 3, pp 400-410, issn 1383-5866, 11 p.Article

Response surface methodology (RSM) as a tool for optimization in analytical chemistryALMEIDA BEZERRA, Marcos; ERTHAL SANTELLI, Ricardo; PADUA OLIVEIRA, Eliane et al.Talanta (Oxford). 2008, Vol 76, Num 5, pp 965-977, issn 0039-9140, 13 p.Article

Comparison of general rate model with a new model―artificial neural network model in describing chromatographic kinetics of solanesol adsorption in packed column by macroporous resinsXUELING DU; QIPENG YUAN; JINSONG ZHAO et al.Journal of chromatography. 2007, Vol 1145, Num 1-2, pp 165-174, issn 0021-9673, 10 p.Article

Neural network nonlinear modeling for hydrogen production using anaerobic fermentationEL-SHAFIE, Ahmed.Neural computing & applications (Print). 2014, Vol 24, Num 3-4, pp 539-547, issn 0941-0643, 9 p.Article

Prediction of Chinese Loess Plateau summer rainfall using Pacific Ocean spring sea surface temperatureYASUDA, H; BERNDTSSON, R; SAITO, T et al.Hydrological processes (Print). 2009, Vol 23, Num 5, pp 719-729, issn 0885-6087, 11 p.Article

Honey botanical origin determination by electronic noseKENJERIC, Frane Cacic; MANNINO, Saverio; BENNEDETTI, Simona et al.Journal of apicultural research. 2009, Vol 48, Num 2, pp 99-103, issn 0021-8839, 5 p.Article

Artificial neural network modelling of Nd:YAG laser microdrilling on titanium nitride-alumina compositeBISWAS, R; KUAR, A. S; BISWAS, S. K et al.Proceedings of the Institution of Mechanical Engineers. Part B. Journal of engineering manufacture. 2010, Vol 224, Num 3, pp 473-482, issn 0954-4054, 10 p.Article

Development of a novel approach for secondary modelling in predictive microbiology: incorporation of microbiological knowledge in black box polynomial modellingGEERAERD, A. H; VALDRAMIDIS, V. P; DEVLIEGHERE, F et al.International journal of food microbiology. 2004, Vol 91, Num 3, pp 229-244, issn 0168-1605, 16 p.Article

Multi-objective optimization of heavy-duty diesel engines under stationary conditionsDESANTES, J. M; BENAJES, J. V; MOLINA, S. A et al.Proceedings of the Institution of Mechanical Engineers. Part D, Journal of automobile engineering. 2005, Vol 219, Num 1, pp 77-87, issn 0954-4070, 11 p.Article

Artificial neural network modelling and experimental verification of the operating current of mono-crystalline photovoltaic modulesCELIK, Ali Naci.Solar energy. 2011, Vol 85, Num 10, pp 2507-2517, issn 0038-092X, 11 p.Article

Image receptive fields for artificial neural networksBUESSLER, Jean-Luc; SMAGGHE, Philippe; URBAN, Jean-Philippe et al.Neurocomputing (Amsterdam). 2014, Vol 144, pp 258-270, issn 0925-2312, 13 p.Article

  • Page / 1