Quantification of the refrigerants R22 and R134a in mixtures by means of different polymers and reflectometric interference spectroscopyDIETERLE, F; BELGE, G; BETSCH, C et al.Analytical and bioanalytical chemistry. 2002, Vol 374, Num 5, pp 858-867, 10 p.Article

Forecasting and recombining time-series components by using neural networksHANSEN, J. V; NELSON, R. D.The Journal of the Operational Research Society. 2003, Vol 54, Num 3, pp 307-317, issn 0160-5682, 11 p.Article

Protein secondary structure prediction using modular reciprocal bidirectional recurrent neural networksBABAEI, Sepideh; GERANMAYEH, Amir; SEYYED ALI SEYYEDSALEHI et al.Computer methods and programs in biomedicine (Print). 2010, Vol 100, Num 3, pp 237-247, issn 0169-2607, 11 p.Article

EPNN-based prediction of meteorological data for renewable energy systemsMELLI, A; DRIF, M; MALEK, A et al.Revue des énergies renouvelables. 2010, Vol 13, Num 1, pp 25-47, issn 1112-2242, 23 p.Article

Estimation of ocean subsurface thermal structure from surface parameters: A neural network approachALI, M. M; SWAIN, D; WELLER, R. A et al.Geophysical research letters. 2004, Vol 31, Num 20, pp L20308.1-L20308.4, issn 0094-8276Article

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

Ensemble Neural NetworksBAIDYK, T; KUSSUL, E.Optical memory & neural networks. 2009, Vol 18, Num 4, pp 295-303, issn 1060-992X, 9 p.Article

Modeling solar still production using local weather data and artificial neural networksSANTOS, Noe I; SAID, Aly M; JAMES, David E et al.Renewable energy. 2012, Vol 40, Num 1, pp 71-79, issn 0960-1481, 9 p.Article

Short-term wind power forecasting in Portugal by neural networks and wavelet transformCATALAO, J. P. S; POUSINHO, H. M. I; MENDES, V. M. F et al.Renewable energy. 2011, Vol 36, Num 4, pp 1245-1251, issn 0960-1481, 7 p.Article

Detection of causes of casting defects assisted by artificial neural networksPERZYK, M; KOCHANSKI, A.Proceedings of the Institution of Mechanical Engineers. Part B. Journal of engineering manufacture. 2003, Vol 217, Num 9, pp 1279-1284, issn 0954-4054, 6 p.Article

Enhancement of data for training neural network based constitutive models for geomaterialsSHIN, H. S; PANDE, G. N.International Symposium on numerical models in geomechanics. 2002, pp 141-146, isbn 90-5809-359-X, 6 p.Conference Paper

Neural network for AES spectra peak base background removalBELIC, Igor; PONIKU, Besnik; JENKO, Monika et al.Surface and interface analysis. 2012, Vol 44, Num 8, pp 1141-1146, issn 0142-2421, 6 p.Conference Paper

ANN virtual sensors for emissions prediction and controlWAI KEAN YAP; KARRI, Vishy.Applied energy. 2011, Vol 88, Num 12, pp 4505-4516, issn 0306-2619, 12 p.Article

Numerical solution of elliptic partial differential equation using radial basis function neural networksLI JIANYU; LUO SIWEI; QI YINGJIAN et al.Neural networks. 2003, Vol 16, Num 5-6, pp 729-734, issn 0893-6080, 6 p.Conference Paper

Artificial neural network predictions on erosive wear of polymersZHANG, Z; BARKOULA, N.-M; KARGER-KOCSIS, J et al.Wear. 2003, Vol 255, Num 1, pp 708-713, issn 0043-1648, 6 p.Conference Paper

Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed dataBRUZZONE, Lorenzo; MELGANI, Farid.IEEE transactions on geoscience and remote sensing. 2005, Vol 43, Num 1, pp 159-174, issn 0196-2892, 16 p.Article

On learning to estimate the block directional image of a fingerprint using a hierarchical neural networkKHALED AHMED NAGATY.Neural networks. 2003, Vol 16, Num 1, pp 133-144, issn 0893-6080, 12 p.Article

Applications of scanning thermal microscopy in the analysis of the geometry of patterned structuresKLAPETEK, Petr; OHLIDAL, Ivan; BURSIK, Jiri et al.Surface and interface analysis. 2006, Vol 38, Num 4, pp 383-387, issn 0142-2421, 5 p.Conference Paper

A novel approach for modelling of NOx emission reduction in a tangentially fired coal boilerILAMATHI, P; SELLADURAI, V; BALAMURUGAN, K et al.International journal of oil, gas and coal technology (Print). 2013, Vol 6, Num 4, pp 449-461, issn 1753-3309, 13 p.Article

Optimal operation conditions for a single-stage heat transformer by means of an artificial neural network inverseCOLORADO, D; HERNANDEZ, J. A; RIVERA, W et al.Applied energy. 2011, Vol 88, Num 4, pp 1281-1290, issn 0306-2619, 10 p.Article

Lung function interpolation by means of neural-network-supported analysis of respiration soundsOUD, M.Medical engineering & physics. 2003, Vol 25, Num 4, pp 309-316, issn 1350-4533, 8 p.Article

Optimum estimation and forecasting of renewable energy consumption by artificial neural networksAZADEH, A; BABAZADEH, R; ASADZADEH, S. M et al.Renewable & sustainable energy review. 2013, Vol 27, pp 605-612, issn 1364-0321, 8 p.Article

Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blendsHARUN MOHAMED ISMAIL; HOON KIAT NG; CHEEN WEI QUECK et al.Applied energy. 2012, Vol 92, pp 769-777, issn 0306-2619, 9 p.Article

Daily UV radiation modeling with the usage of statistical correlations and artificial neural networksLEAL, S. S; TIBA, C; PIACENTINI, R et al.Renewable energy. 2011, Vol 36, Num 12, pp 3337-3344, issn 0960-1481, 8 p.Article

Prediction of response to incision using the mutual information of electroencephalograms during anaesthesiaHUANG, L; YU, P; JU, F et al.Medical engineering & physics. 2003, Vol 25, Num 4, pp 321-327, issn 1350-4533, 7 p.Article