Multi-step ahead forecasts for electricity prices using NARX: A new approach, a critical analysis of one-step ahead forecasts », Energy Conversion and Management, pp.739-747, 2009. ,
A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation, Neurocomputing, vol.70, issue.7-9, pp.1525-1542, 2007. ,
DOI : 10.1016/j.neucom.2006.01.032
Prediction method in technical diagnostics, 1984. ,
Les réseaux de neurones et l'aide au diagnostic : un modèle de neurones bouclés pour l'apprentissage de séquences temporelles, 1996. ,
Prediction of individual patient outcome in cancer, Cancer, vol.6, issue.S8, pp.1643-1646, 2001. ,
DOI : 10.1002/1097-0142(20010415)91:8+<1643::AID-CNCR1177>3.0.CO;2-I
Time series analysis: Forecasting and control, 1970. ,
Prognostic enhancements to diagnostic systems for improved condition-based maintenance, IEEE Aerospace Conference, 2002. ,
Simple condition forecasting techniques in vibroacoustical diagnostics, Mechanical Systems and Signal Processing, vol.1, issue.1, pp.75-82, 1987. ,
DOI : 10.1016/0888-3270(87)90084-7
Managing the condition-based maintenance of a combined-cycle power plant: An approach using soft computing techniques, Journal of Loss Prevention in the Process Industries, pp.316-325, 2006. ,
DOI : 10.1016/j.jlp.2005.07.018
Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction, Neural Processing Letters, vol.11, issue.1, pp.95-107, 2005. ,
DOI : 10.1007/s11063-004-7774-7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.669.6449
25 years of time series forecasting, International Journal of Forecasting, vol.22, issue.3, pp.443-473, 2006. ,
DOI : 10.1016/j.ijforecast.2006.01.001
A novel approach for distributed application scheduling based on prediction of communication events, Future Generation Computer Systems, 2009. ,
FRAMEWORK FOR A DISTRIBUTED AND HYBRID PROGNOSTIC SYSTEM, 4th IFAC Conference on Management and Control of Production and Logistics ? MCPL'07, 2007. ,
DOI : 10.3182/20070927-4-RO-3905.00072
URL : https://hal.archives-ouvertes.fr/hal-00181342
Finding Structure in Time, Cognitive Science, vol.49, issue.2, pp.179-211, 1990. ,
DOI : 10.1207/s15516709cog1402_1
Local Feedback Multilayered Networks, Feedback Multilayered Networks, pp.120-130, 1992. ,
DOI : 10.1162/neco.1989.1.2.270
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.2965
NARMAX time series model prediction : feedforward and recurrent fuzzy neural network approaches " , Fuzzy sets and systems, pp.331-350, 2005. ,
DOI : 10.1016/j.fss.2004.09.015
Prognostic information fusion for constant load systems, 2005 7th International Conference on Information Fusion, pp.1247-1255, 2005. ,
DOI : 10.1109/ICIF.2005.1592000
Neural network based BER prediction for 802.16e channel, 2007 15th International Conference on Software, Telecommunications and Computer Networks, pp.27-29, 2007. ,
DOI : 10.1109/SOFTCOM.2007.4446119
Fuzzy prediction architecture using recurrent neural networks, Pages 1668-1678 Advances in Machine Learning and Computational Intelligence -16th European Symposium on Artificial Neural Networks 2008, 16th European Symposium on Artificial Neural Networks, 2008. ,
Rotating machinery prognostics: State of the art, challenges and opportunities, Mechanical Systems and Signal Processing, vol.23, issue.3, pp.724-739, 2009. ,
ANFIS: adaptive-network-based fuzzy inference system, IEEE Transactions on Systems, Man, and Cybernetics, vol.23, issue.3, pp.24-38, 1993. ,
DOI : 10.1109/21.256541
A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mechanical Systems and Signal Processing, vol.20, issue.7, pp.1483-1510, 2006. ,
DOI : 10.1016/j.ymssp.2005.09.012
Beyond the Cox model: artificial neural networks for survival analysis part II, Proceedings of the Eighteenth International Conference on Systems Engineering, 2006. ,
Application of autoregressive prognostic techniques in diagnostics, Proceedings of the Vehicle Diagnostics Conference, 1983. ,
Prognostics performance metrics and their relation to requirements, design, verification and cost-benefit, 2008 International Conference on Prognostics and Health Management, 2008. ,
DOI : 10.1109/PHM.2008.4711429
A systematic approach for developing and deploying advanced prognostics technologies and tools: methodology and applications, Proceedings of the Second World Congress on Engineering Asset Management, pp.1195-1206, 2007. ,
Artificial immune regulation (AIR) for model-based fault diagnosis » Artificial immune systems : ( Catania, ICARIS 2004 : international conference on artificial immune systems No3, pp.13-16, 2004. ,
Condition monitoring in engineering asset management, Proceedings of Asia-Pacific Vibration Conference, 2007. ,
Recurrent Neural Networks for Prediction: Learning Algorithms and Architectures and Stability, 2001. ,
DOI : 10.1002/047084535X
« Long-term time series prediction with the NARX network: An empirical evaluation, Pages 3335-3343 Advances in Neural Information Processing (ICONIP 2006) / Brazilian Symposium on Neural Networks, pp.16-18, 2006. ,
Formalisation of a new prognosis model for supporting proactive maintenance implementation on industrial system, Reliability Engineering & System Safety, vol.93, issue.2, pp.234-253, 2008. ,
DOI : 10.1016/j.ress.2006.12.004
URL : https://hal.archives-ouvertes.fr/hal-00149602
Zerhouni « A neuro-fuzzy monitoring system: Application to flexible production systems, Computers in Industry, vol.57, issue.6, 2006. ,
A hybrid of nonlinear autoregressive model with exogenous input and autoregressive moving average model for long-term machine state forecasting, Expert Systems with Applications, vol.37, issue.4, 2009. ,
DOI : 10.1016/j.eswa.2009.10.020
Forecasting peak air pollution levels using NARX models, Engineering Applications of Artificial Intelligence, vol.22, issue.4-5, pp.593-602, 2009. ,
DOI : 10.1016/j.engappai.2009.04.002
An assessment of turbomachinery condition monitoring and failure prognosis technology, The Shock and Vibration Digest, pp.31-365, 1999. ,
Development of diagnostic and prognostic technologies for aerospace health management applications, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542), pp.3139-3147, 2001. ,
DOI : 10.1109/AERO.2001.931331
Construction of a radial basis function network using an evolutionary algorithm for grade estimation in a placer gold deposit, Computers & Geosciences, vol.35, issue.8, pp.1592-1602, 2009. ,
DOI : 10.1016/j.cageo.2009.01.006
Metrics for evaluating performance of prognostic techniques, 2008 International Conference on Prognostics and Health Management, 2008. ,
DOI : 10.1109/PHM.2008.4711436
Opening the neural network black box: An algorithm for extracting rules from function approximating artificial neural networks, Proceedings of International Conference on Information Systems, pp.176-186, 2000. ,
Prognosis of remaining bearing life using neural networks, Proceedings of the Institution of Mechanical Engineers, pp.217-230, 2000. ,
DOI : 10.1243/0959651001540582
a note on the equivalence of NARMAX anf RNN, Neural Computing & Applications, pp.8-33, 1999. ,
The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks, IEEE Transactions on Neural Networks, vol.9, issue.6, pp.1057-1068, 1998. ,
DOI : 10.1109/72.728352
Prediction of Machine Deterioration Using Vibration Based Fault Trends and Recurrent Neural Networks, Journal of Vibration and Acoustics, vol.121, issue.3, pp.355-362, 1999. ,
DOI : 10.1115/1.2893988
Intelligent Fault Diagnosis and Prognosis for Engineering Systems, 2006. ,
DOI : 10.1002/9780470117842
Fault prognostics using dynamic wavelet neural networks, AI EDAM, vol.15, issue.4, pp.349-365, 2001. ,
DOI : 10.1017/S0890060401154089
An adaptive predictor for dynamic system forecasting, Mechanical Systems and Signal Processing, vol.21, issue.2, pp.809-823, 2007. ,
DOI : 10.1016/j.ymssp.2005.12.008
Prognosis of machine health condition using neuro-fuzzy systems, Mechanical Systems and Signal Processing, vol.18, issue.4, pp.813-831, 2004. ,
DOI : 10.1016/S0888-3270(03)00079-7
Forecasting the geomagnetic activity of the Dst index using multiscale radial basis function networks, Advances in Space Research, vol.40, issue.12, pp.1863-1870, 2007. ,
DOI : 10.1016/j.asr.2007.02.080
Intelligent Predictive Decision Support System for Condition-Based Maintenance, The International Journal of Advanced Manufacturing Technology, vol.17, issue.5, pp.383-391, 2001. ,
DOI : 10.1007/s001700170173
Forecasting with artificial neural networks:, International Journal of Forecasting, vol.14, issue.1, pp.35-62, 1998. ,
DOI : 10.1016/S0169-2070(97)00044-7
? b ? « Réseaux de neurones Récurrents à Fonction de base Radiales :RRFR/ Application au pronostic », Revue d'Intelligence Artificielle, RSTI série RIA, vol.16, p.3, 2002. ,
Recurrent radial basis function network for time-series prediction, Engineering Applications of Artificial Intelligence, vol.16, issue.5-6, pp.453-463, 2003. ,
DOI : 10.1016/S0952-1976(03)00063-0
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.7475
Prediction Error Feedback for Time Series Prediction: a way to improve the accuracy of predictions », The 4th EUROPEAN COMPUTING CONFERENCE (ECC'10) WSEAS Conferences in the Universitatea Politehnica, 2010. ,
Implementation of Artificial Intelligence in the Time Series Prediction Problem, Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization, 2006. ,
Modeling of Ion Energy Distribution Using Time-Series Neural Network, 12th WSEAS International Conference on SYSTEMS, 2008. ,
Prediction of Chamber Leak Pattern Using Time-Series Neural Network, 12th WSEAS International Conference on SYSTEMS Time Series Forecasting using ARIMA, Neural Networks and Neo Fuzzy Neurons " , 3rd WSEAS International Conference on Neural Networks and Applications (NNA '02), Fuzzy Sets and Fuzzy Systems (FSFS '02), Evolutionary Computation (EC '02), 2002. ,
Use of Neural Networks to Forecast Time Series: River Flow Modeling, 3rd WSEAS International Conference on Neural Networks and Applications (NNA '02), Fuzzy Sets and Fuzzy Systems (FSFS '02), Evolutionary Computation (EC '02) Interlaken, 2002. ,
Forecasting of surface ozone concentrations 24 hours in advance using neural networks, WSES International Conferences Neural Network and Applications Fuzzy Sets and Fuzzy Systems Evolutionary Computation, 2001. ,
Nonlinear signal processing using neural networks: prediction and system modelling. The. Rep. LA-UR87-2662, 1987. ,