Journal articles on the topic 'Nonlinear autoregressive models with exogenous inputs'
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Blanchard, Tyler, and Biswanath Samanta. "Wind speed forecasting using neural networks." Wind Engineering 44, no. 1 (2019): 33–48. http://dx.doi.org/10.1177/0309524x19849846.
Full textGrande, Davide, Catherine A. Harris, Giles Thomas, and Enrico Anderlini. "Data-Driven Stability Assessment of Multilayer Long Short-Term Memory Networks." Applied Sciences 11, no. 4 (2021): 1829. http://dx.doi.org/10.3390/app11041829.
Full textBoynton, R. J., M. A. Balikhin, and S. A. Billings. "Online NARMAX model for electron fluxes at GEO." Annales Geophysicae 33, no. 3 (2015): 405–11. http://dx.doi.org/10.5194/angeo-33-405-2015.
Full textTalla Konchou, Franck Armel, Pascalin Tiam Kapen, Steve Brice Kenfack Magnissob, Mohamadou Youssoufa, and René Tchinda. "Prediction of wind speed profile using two artificial neural network models: an ab initio investigation in the Bapouh’s city, Cameroon." International Journal of Energy Sector Management 15, no. 3 (2021): 566–77. http://dx.doi.org/10.1108/ijesm-04-2020-0008.
Full textLaadissi, El Mehdi, Anas El Filali, and Malika Zazi. "A Nonlinear TSNN Based Model of a Lead Acid Battery." Bulletin of Electrical Engineering and Informatics 7, no. 2 (2018): 169–75. http://dx.doi.org/10.11591/eei.v7i2.675.
Full textEl, Mehdi Laadiss, El Filali Anas, and Zazi Malika. "A Nonlinear TSNN Based Model of a Lead Acid Battery." Bulletin of Electrical Engineering and Informatics 7, no. 2 (2018): 169–75. https://doi.org/10.11591/eei.v7i2.675.
Full textGhalei, Pouya, Alireza Fatehi, and Mohamadreza Arvan. "Two-Degree-of-Freedom Helicopter Closed-Loop Identification through a Cascade Controller." Advanced Materials Research 403-408 (November 2011): 4649–58. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4649.
Full textWhyte, J. M., A. Plumridge, and A. V. Metcalfe. "Comparison of predictions of rainfall-runoff models for changes in rainfall in the Murray-Darling Basin." Hydrology and Earth System Sciences Discussions 8, no. 1 (2011): 917–55. http://dx.doi.org/10.5194/hessd-8-917-2011.
Full textHou, Dehao, Wenjun Ma, Lingyan Hu, et al. "Modeling of Nonlinear SOEC Parameter System Based on Data-Driven Method." Atmosphere 14, no. 9 (2023): 1432. http://dx.doi.org/10.3390/atmos14091432.
Full textKhan, Mushtaq Hussain, Shreya Macherla, and Angesh Anupam. "Nonlinear connectedness of conventional crypto-assets and sustainable crypto-assets with climate change: A complex systems modelling approach." PLOS ONE 20, no. 2 (2025): e0318647. https://doi.org/10.1371/journal.pone.0318647.
Full textLi, Guoqi, Changyun Wen, Wei Xing Zheng, and Yan Chen. "Identification of a Class of Nonlinear Autoregressive Models With Exogenous Inputs Based on Kernel Machines." IEEE Transactions on Signal Processing 59, no. 5 (2011): 2146–59. http://dx.doi.org/10.1109/tsp.2011.2112355.
Full textSani, Muhammad Gaya, Norhaliza Abdul Wahab, Yahya M. Sam, Sharatul Izah Samsudin, and Irma Wani Jamaludin. "Comparison of NARX Neural Network and Classical Modelling Approaches." Applied Mechanics and Materials 554 (June 2014): 360–65. http://dx.doi.org/10.4028/www.scientific.net/amm.554.360.
Full textEl Ghazouli, Khalid, Jamal El Khattabi, Isam Shahrour, and Aziz Soulhi. "Wastewater flow forecasting model based on the nonlinear autoregressive with exogenous inputs (NARX) neural network." H2Open Journal 4, no. 1 (2021): 276–90. http://dx.doi.org/10.2166/h2oj.2021.107.
Full textKhalid, EL GHAZOULI, EL KHATABI Jamal, SHAHROUR Isam, and SOULHI Aziz. "Comparison of M5 Model Tree and Nonlinear Autoregressive with eXogenous inputs (NARX) Neural Network for urban stormwater discharge modelling." MATEC Web of Conferences 295 (2019): 02002. http://dx.doi.org/10.1051/matecconf/201929502002.
Full textMeriem, Mossaddek, Mehdi Laadissi El, Ennawaoui Chouaib, Bouzaid Sohaib, and Hajjaji Abdelowahed. "Enhancing battery system identification: nonlinear autoregressive modeling for Li-ion batteries." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 3 (2024): 2449–56. https://doi.org/10.11591/ijece.v14i3.pp2449-2456.
Full textNikolic, Sasa S., Miroslav B. Milovanovic, Nikola B. Dankovic, et al. "Identification of Nonlinear Systems Using the Hammerstein-Wiener Model with Improved Orthogonal Functions." Elektronika ir Elektrotechnika 29, no. 2 (2023): 4–11. http://dx.doi.org/10.5755/j02.eie.33838.
Full textAlsumaiei, Abdullah A. "A Nonlinear Autoregressive Modeling Approach for Forecasting Groundwater Level Fluctuation in Urban Aquifers." Water 12, no. 3 (2020): 820. http://dx.doi.org/10.3390/w12030820.
Full textZhang, Wanxin, Jihong Zhu, and Dongbing Gu. "Identification of robotic systems with hysteresis using Nonlinear AutoRegressive eXogenous input models." International Journal of Advanced Robotic Systems 14, no. 3 (2017): 172988141770584. http://dx.doi.org/10.1177/1729881417705845.
Full textEl Hamidi, Khadija, Mostafa Mjahed, Abdeljalil El Kari, and Hassan Ayad. "Adaptive Control Using Neural Networks and Approximate Models for Nonlinear Dynamic Systems." Modelling and Simulation in Engineering 2020 (August 26, 2020): 1–13. http://dx.doi.org/10.1155/2020/8642915.
Full textMossaddek, Meriem, El Mehdi Laadissi, Chouaib Ennawaoui, Sohaib Bouzaid, and Abdelowahed Hajjaji. "Enhancing battery system identification: nonlinear autoregressive modeling for Li-ion batteries." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 3 (2024): 2449. http://dx.doi.org/10.11591/ijece.v14i3.pp2449-2456.
Full textKacimi, Houda, Sara Fennane, Hamza Mabchour, Fatehi ALtalqi, Ibtissam El Moury, and Adil Echchelh. "Comparison of multilayer perceptron and nonlinear autoregressive models for wind speed prediction." Bulletin of Electrical Engineering and Informatics 14, no. 3 (2025): 1591–601. https://doi.org/10.11591/eei.v14i3.8541.
Full textNikentari, Nerfita, and Hua-Liang Wei. "Multi-task learning using non-linear autoregressive models and recurrent neural networks for tide level forecasting." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 1 (2024): 960–70. https://doi.org/10.11591/ijece.v14i1.pp960-970.
Full textWan, Sicheng, Yibo Wang, Youshuang Zhang, Beibei Zhu, Huakun Huang, and Jia Liu. "Fusion of Hierarchical Optimization Models for Accurate Power Load Prediction." Sustainability 16, no. 16 (2024): 6903. http://dx.doi.org/10.3390/su16166903.
Full textBoynton, R. J., M. A. Balikhin, S. A. Billings, and O. A. Amariutei. "Application of nonlinear autoregressive moving average exogenous input models to geospace: advances in understanding and space weather forecasts." Annales Geophysicae 31, no. 9 (2013): 1579–89. http://dx.doi.org/10.5194/angeo-31-1579-2013.
Full textWang, Lan, Yu Cheng, Jinglu Hu, Jinling Liang, and Abdullah M. Dobaie. "Nonlinear System Identification Using Quasi-ARX RBFN Models with a Parameter-Classified Scheme." Complexity 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/8197602.
Full textLee, Ya Wei. "Dynamic Modeling and Identification of an Electric-Hydraulic Controlled Fuel Injection System." Advanced Materials Research 918 (April 2014): 206–11. http://dx.doi.org/10.4028/www.scientific.net/amr.918.206.
Full textJiang, Han, Yajie Zou, Shen Zhang, Jinjun Tang, and Yinhai Wang. "Short-Term Speed Prediction Using Remote Microwave Sensor Data: Machine Learning versus Statistical Model." Mathematical Problems in Engineering 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/9236156.
Full textHermansah, Hermansah, Dedi Rosadi, Abdurakhman Abdurakhman, and Herni Utami. "Automatic time series forecasting using nonlinear autoregressive neural network model with exogenous input." Bulletin of Electrical Engineering and Informatics 10, no. 5 (2021): 2836–44. http://dx.doi.org/10.11591/eei.v10i5.2862.
Full textDe Freitas Lopes, Gisele, Manoel Henrique Reis Nascimento, Alexandra Amaro de Lima, et al. "APPLICATION OF THE NONLINEAR AUTOREGRESSIVE MODEL WITH EXOGENOUS INPUTS FOR RIVER LEVEL FORECAST IN THE AMAZON." International Journal for Innovation Education and Research 10, no. 3 (2022): 304–23. http://dx.doi.org/10.31686/ijier.vol10.iss3.3696.
Full textNikentari, Nerfita, and Hua-Liang Wei. "Multi-task learning using non-linear autoregressive models and recurrent neural networks for tide level forecasting." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 1 (2024): 960. http://dx.doi.org/10.11591/ijece.v14i1.pp960-970.
Full textNatsheh and Samara. "Toward Better PV Panel’s Output Power Prediction; a Module Based on Nonlinear Autoregressive Neural Network with Exogenous Inputs." Applied Sciences 9, no. 18 (2019): 3670. http://dx.doi.org/10.3390/app9183670.
Full textBanihabib, Mohammad Ebrahim, Arezoo Ahmadian, and Mohammad Valipour. "Hybrid MARMA-NARX model for flow forecasting based on the large-scale climate signals, sea-surface temperatures, and rainfall." Hydrology Research 49, no. 6 (2018): 1788–803. http://dx.doi.org/10.2166/nh.2018.145.
Full textSultana, Nahid, S. M. Zakir Hossain, Salma Hamad Almuhaini, and Dilek Düştegör. "Bayesian Optimization Algorithm-Based Statistical and Machine Learning Approaches for Forecasting Short-Term Electricity Demand." Energies 15, no. 9 (2022): 3425. http://dx.doi.org/10.3390/en15093425.
Full textGolob, Marjan. "NARX Deep Convolutional Fuzzy System for Modelling Nonlinear Dynamic Processes." Mathematics 11, no. 2 (2023): 304. http://dx.doi.org/10.3390/math11020304.
Full textAquize, Rubén, Armando Cajahuaringa, José Machuca, David Mauricio, and Juan M. Mauricio Villanueva. "System Identification Methodology of a Gas Turbine Based on Artificial Recurrent Neural Networks." Sensors 23, no. 4 (2023): 2231. http://dx.doi.org/10.3390/s23042231.
Full textAlmuhaini, Salma Hamad, and Nahid Sultana. "Forecasting Long-Term Electricity Consumption in Saudi Arabia Based on Statistical and Machine Learning Algorithms to Enhance Electric Power Supply Management." Energies 16, no. 4 (2023): 2035. http://dx.doi.org/10.3390/en16042035.
Full textGhahari, SeyedAli, Cesar Queiroz, Samuel Labi, and Sue McNeil. "Cluster Forecasting of Corruption Using Nonlinear Autoregressive Models with Exogenous Variables (NARX)—An Artificial Neural Network Analysis." Sustainability 13, no. 20 (2021): 11366. http://dx.doi.org/10.3390/su132011366.
Full textChreng, Karodine, Han Soo Lee, and Soklin Tuy. "A Hybrid Model for Electricity Demand Forecast Using Improved Ensemble Empirical Mode Decomposition and Recurrent Neural Networks with ERA5 Climate Variables." Energies 15, no. 19 (2022): 7434. http://dx.doi.org/10.3390/en15197434.
Full textLee, Y. W. "Assessment of the Shock-Absorption Performance of a High Capacity Suspension System by Neural Networks." Journal of Mechanics 30, no. 1 (2013): 39–48. http://dx.doi.org/10.1017/jmech.2013.66.
Full textGao, Xiaoshu, Hetao Hou, Liang Huang, Guangquan Yu, and Cheng Chen. "Evaluation of Kriging-NARX Modeling for Uncertainty Quantification of Nonlinear SDOF Systems with Degradation." International Journal of Structural Stability and Dynamics 21, no. 04 (2021): 2150060. http://dx.doi.org/10.1142/s0219455421500607.
Full textEikenberry, Steffen E., and Vasilis Z. Marmarelis. "Principal Dynamic Mode Analysis of the Hodgkin–Huxley Equations." International Journal of Neural Systems 25, no. 02 (2015): 1550001. http://dx.doi.org/10.1142/s012906571550001x.
Full textAhmed, Duraid F., and Ali H. Khalaf. "Development of Artificial Neural Network Model of Crude Oil Distillation Column." Tikrit Journal of Engineering Sciences 22, no. 1 (2015): 24–37. http://dx.doi.org/10.25130/tjes.22.1.03.
Full textZHANG, LI, YU-GENG XI, and WEI-DA ZHOU. "IDENTIFICATION AND CONTROL OF DISCRETE-TIME NONLINEAR SYSTEMS USING AFFINE SUPPORT VECTOR MACHINES." International Journal on Artificial Intelligence Tools 18, no. 06 (2009): 929–47. http://dx.doi.org/10.1142/s0218213009000469.
Full textWotzka, Daria, Grażyna Suchacka, Paweł Frącz, Łukasz Mach, Marzena Stec, and Joachim Foltys. "Analysis of the Housing Market Dynamics Using NARX Neural Network." Anwendungen und Konzepte der Wirtschaftsinformatik, no. 19 (August 10, 2024): 7. http://dx.doi.org/10.26034/lu.akwi.2024.5947.
Full textFuselero, AL Diego Pega, Hannah Mae San Agustin Portus, and Bonifacio Tobias Doma Jr. "Daily Solar Radiation Forecasting based on a Hybrid NARX-GRU Network in Dumaguete, Philippines." International Journal of Renewable Energy Development 11, no. 3 (2022): 839–50. http://dx.doi.org/10.14710/ijred.2022.44755.
Full textChao, K. M., K. I. Hoi, K. V. Yuen, and K. M. Mok. "Adaptive Modelling of the Daily Behavior of the Boundary Layer Ozone in Macau." ISRN Meteorology 2012 (July 8, 2012): 1–7. http://dx.doi.org/10.5402/2012/434176.
Full textAstatkie, T. "Absolute and relative measures for evaluating the forecasting performance of time series models for daily streamflows." Hydrology Research 37, no. 3 (2006): 205–15. http://dx.doi.org/10.2166/nh.2006.008.
Full textPatanè, Luca, Francesca Sapuppo, and Maria Gabriella Xibilia. "Soft Sensors for Industrial Processes Using Multi-Step-Ahead Hankel Dynamic Mode Decomposition with Control." Electronics 13, no. 15 (2024): 3047. http://dx.doi.org/10.3390/electronics13153047.
Full textThapa, Samit, Zebin Zhao, Bo Li, et al. "Snowmelt-Driven Streamflow Prediction Using Machine Learning Techniques (LSTM, NARX, GPR, and SVR)." Water 12, no. 6 (2020): 1734. http://dx.doi.org/10.3390/w12061734.
Full textDi Nunno, Fabio, Giovanni de Marinis, Rudy Gargano, and Francesco Granata. "Tide Prediction in the Venice Lagoon Using Nonlinear Autoregressive Exogenous (NARX) Neural Network." Water 13, no. 9 (2021): 1173. http://dx.doi.org/10.3390/w13091173.
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