Artículos de revistas sobre el tema "Artificial Neural Network-based modeling"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "Artificial Neural Network-based modeling".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Zhang, Ji, Sheng Chang, Hao Wang, Jin He y Qi Jun Huang. "Artificial Neural Network Based CNTFETs Modeling". Applied Mechanics and Materials 667 (octubre de 2014): 390–95. http://dx.doi.org/10.4028/www.scientific.net/amm.667.390.
Texto completoHiyama, T., M. Tokieda, W. Hubbi y H. Andou. "Artificial neural network based dynamic load modeling". IEEE Transactions on Power Systems 12, n.º 4 (1997): 1576–83. http://dx.doi.org/10.1109/59.627861.
Texto completoWang, Jun, Feng Qin Yu y Feng He Wu. "Cutting Data Modeling Based on Artificial Neural Network". Key Engineering Materials 620 (agosto de 2014): 544–49. http://dx.doi.org/10.4028/www.scientific.net/kem.620.544.
Texto completoFaghri, Ardeshir y Sandeep Aneja. "Artificial Neural Network–Based Approach to Modeling Trip Production". Transportation Research Record: Journal of the Transportation Research Board 1556, n.º 1 (enero de 1996): 131–36. http://dx.doi.org/10.1177/0361198196155600115.
Texto completoLongfei, Tang, Xu Zhihong y Bala Venkatesh. "Contactor Modeling Technology Based on an Artificial Neural Network". IEEE Transactions on Magnetics 54, n.º 2 (febrero de 2018): 1–8. http://dx.doi.org/10.1109/tmag.2017.2767555.
Texto completoPanahi, Shirin, Zainab Aram, Sajad Jafari, Jun Ma y J. C. Sprott. "Modeling of epilepsy based on chaotic artificial neural network". Chaos, Solitons & Fractals 105 (diciembre de 2017): 150–56. http://dx.doi.org/10.1016/j.chaos.2017.10.028.
Texto completoRai, Raveendra K. y B. S. Mathur. "Event-based Sediment Yield Modeling using Artificial Neural Network". Water Resources Management 22, n.º 4 (4 de mayo de 2007): 423–41. http://dx.doi.org/10.1007/s11269-007-9170-3.
Texto completoXie, Shuai, Wenyan Wu, Sebastian Mooser, Q. J. Wang, Rory Nathan y Yuefei Huang. "Artificial neural network based hybrid modeling approach for flood inundation modeling". Journal of Hydrology 592 (enero de 2021): 125605. http://dx.doi.org/10.1016/j.jhydrol.2020.125605.
Texto completoHASEENA, H., PAUL K. JOSEPH y ABRAHAM T. MATHEW. "ARTIFICIAL NEURAL NETWORK BASED ECG ARRHYTHMIA CLASSIFICATION". Journal of Mechanics in Medicine and Biology 09, n.º 04 (diciembre de 2009): 507–25. http://dx.doi.org/10.1142/s0219519409003103.
Texto completoÇelik, Şenol. "MODELING AVOCADO PRODUCTION IN MEXICO WITH ARTIFICIAL NEURAL NETWORKS". Engineering and Technology Journal 07, n.º 10 (31 de octubre de 2022): 1605–9. http://dx.doi.org/10.47191/etj/v7i10.08.
Texto completoSalmia , M., Fridja , D., Baci , A. Bella y Al-Douri , Y. "MOSFETs Modeling Using Artificial Neural Network". Journal of New Technology and Materials 8, n.º 2 (diciembre de 2018): 55–58. http://dx.doi.org/10.12816/0053502.
Texto completoPriya, R. y Dr R. Mallika. "Ground Water Quality Modelling Using Data Mining Techniques and Artificial Neural Network Based Approach". Journal of Advanced Research in Dynamical and Control Systems 11, n.º 10-SPECIAL ISSUE (31 de octubre de 2019): 1001–7. http://dx.doi.org/10.5373/jardcs/v11sp10/20192897.
Texto completoWang, Jing, Yo-Han Kim, Jisu Ryu, Changwook Jeong, Woosung Choi y Daesin Kim. "Artificial Neural Network-Based Compact Modeling Methodology for Advanced Transistors". IEEE Transactions on Electron Devices 68, n.º 3 (marzo de 2021): 1318–25. http://dx.doi.org/10.1109/ted.2020.3048918.
Texto completoYang, Shaozeng y Jianhua Zhang. "Artificial Neural Network based Predictive Modeling of Operator Functional State". IFAC Proceedings Volumes 46, n.º 13 (2013): 371–76. http://dx.doi.org/10.3182/20130708-3-cn-2036.00005.
Texto completoLee, Jong-Pil y Sung-Soo Kim. "Static Load Modeling Based on Artificial Neural Network and Harmonics". Transactions of the Korean Institute of Electrical Engineers P 62, n.º 2 (1 de junio de 2013): 65–71. http://dx.doi.org/10.5370/kieep.2013.62.2.065.
Texto completoLauret, Pierre, Frédéric Heymes, Laurent Aprin y Anne Johannet. "Atmospheric dispersion modeling using Artificial Neural Network based cellular automata". Environmental Modelling & Software 85 (noviembre de 2016): 56–69. http://dx.doi.org/10.1016/j.envsoft.2016.08.001.
Texto completoYassar, Reza S., Osama AbuOmar, Eric Hansen y Mark F. Horstemeyer. "On dislocation-based artificial neural network modeling of flow stress". Materials & Design 31, n.º 8 (septiembre de 2010): 3683–89. http://dx.doi.org/10.1016/j.matdes.2010.02.051.
Texto completoAli Akcayol, M. y Can Cinar. "Artificial neural network based modeling of heated catalytic converter performance". Applied Thermal Engineering 25, n.º 14-15 (octubre de 2005): 2341–50. http://dx.doi.org/10.1016/j.applthermaleng.2004.12.014.
Texto completoLiu, Xiangdong y Chunbo Xiu. "Hysteresis modeling based on the hysteretic chaotic neural network". Neural Computing and Applications 17, n.º 5-6 (30 de octubre de 2007): 579–83. http://dx.doi.org/10.1007/s00521-007-0157-z.
Texto completoSingh, Gyanendra, Mahesh Pal, Yogender Yadav y Tushar Singla. "Deep neural network-based predictive modeling of road accidents". Neural Computing and Applications 32, n.º 16 (9 de enero de 2020): 12417–26. http://dx.doi.org/10.1007/s00521-019-04695-8.
Texto completoSONG, YANGPO y XIAOQI PENG. "MODELING METHOD USING COMBINED ARTIFICIAL NEURAL NETWORK". International Journal of Computational Intelligence and Applications 10, n.º 02 (junio de 2011): 189–98. http://dx.doi.org/10.1142/s1469026811003057.
Texto completoMohamed, R. A. y D. M. Habashy. "Thermal Conductivity Modeling of Propylene Glycol - Based Nanofluid Using Artificial Neural Network". JOURNAL OF ADVANCES IN PHYSICS 14, n.º 1 (31 de marzo de 2018): 5281–91. http://dx.doi.org/10.24297/jap.v14i1.7177.
Texto completoLi, Xiuping y Jianjun Gao. "PAD MODELING BY USING ARTIFICIAL NEURAL NETWORK". Progress In Electromagnetics Research 74 (2007): 167–80. http://dx.doi.org/10.2528/pier07041201.
Texto completoMombeini, Hossein y Abdolreza Yazdani-Chamzini. "Modeling Gold Price via Artificial Neural Network". Journal of Economics, Business and Management 3, n.º 7 (2015): 699–703. http://dx.doi.org/10.7763/joebm.2015.v3.269.
Texto completoKhorshid, Motaz, Assem Tharwat, Amer Bader y Ahmed Omran. "The ARIMA versus Artificial Neural Network Modeling". IJCI. International Journal of Computers and Information 2, n.º 1 (1 de junio de 2009): 30–40. http://dx.doi.org/10.21608/ijci.2009.33936.
Texto completoIqbal, Asif. "Modeling Milling Process Using Artificial Neural Network". Advanced Materials Research 628 (diciembre de 2012): 128–34. http://dx.doi.org/10.4028/www.scientific.net/amr.628.128.
Texto completoDjavanroodi, F., B. Omranpour y M. Sedighi. "Artificial Neural Network Modeling of ECAP Process". Materials and Manufacturing Processes 28, n.º 3 (marzo de 2013): 276–81. http://dx.doi.org/10.1080/10426914.2012.667889.
Texto completoWang, Jun, Hai Li Zhang y Zhang Yue Su. "Manufacturing Knowledge Modeling Based on Artificial Neural Network for Intelligent CAPP". Applied Mechanics and Materials 127 (octubre de 2011): 310–15. http://dx.doi.org/10.4028/www.scientific.net/amm.127.310.
Texto completoMa, Yanying, Qiang Liu, Bohua Sun, Xiuzhen Li y Ying Liu. "Wireless Sensor Modeling Optimization Algorithm Based on Artificial Intelligence Neural Network". Mobile Information Systems 2022 (30 de julio de 2022): 1–13. http://dx.doi.org/10.1155/2022/5296543.
Texto completoZhang, Yi, Hong Chen, Bingqiao Yang, Shupei Fu, Jie Yu y Ziyue Wang. "Prediction of phosphate concentrate grade based on artificial neural network modeling". Results in Physics 11 (diciembre de 2018): 625–28. http://dx.doi.org/10.1016/j.rinp.2018.10.011.
Texto completoFalahian, Razieh, Maryam Mehdizadeh Dastjerdi, Malihe Molaie, Sajad Jafari y Shahriar Gharibzadeh. "Artificial neural network-based modeling of brain response to flicker light". Nonlinear Dynamics 81, n.º 4 (7 de mayo de 2015): 1951–67. http://dx.doi.org/10.1007/s11071-015-2118-x.
Texto completoSalari, D. y K. Rostamizadeh. "Oxidative Desulfurization of Fuel Oil: Modeling Based on Artificial Neural Network". Petroleum Science and Technology 26, n.º 4 (27 de febrero de 2008): 382–97. http://dx.doi.org/10.1080/10916460600809592.
Texto completoTrichakis, Ioannis C., Ioannis K. Nikolos y G. P. Karatzas. "Artificial Neural Network (ANN) Based Modeling for Karstic Groundwater Level Simulation". Water Resources Management 25, n.º 4 (18 de marzo de 2010): 1143–52. http://dx.doi.org/10.1007/s11269-010-9628-6.
Texto completoWatson, P. M., K. C. Gupta y R. L. Mahajan. "Applications of knowledge-based artificial neural network modeling to microwave components". International Journal of RF and Microwave Computer-Aided Engineering 9, n.º 3 (mayo de 1999): 254–60. http://dx.doi.org/10.1002/(sici)1099-047x(199905)9:3<254::aid-mmce9>3.0.co;2-g.
Texto completoRuciński, Dariusz. "The Influence of the Artificial Neural Network type on the quality of learning on the Day-Ahead Market model at Polish Power Exchange joint-stock company". Studia Informatica, n.º 23 (22 de diciembre de 2020): 77–93. http://dx.doi.org/10.34739/si.2019.23.05.
Texto completoTurovskii, Ya A., E. V. Bogatikov, S. G. Tikhomirov y A. A. Adamenko. "Modeling the restoration of biological and biotechnical systems using hardware analog and software artificial neural networks". Proceedings of the Voronezh State University of Engineering Technologies 80, n.º 2 (2 de octubre de 2018): 86–92. http://dx.doi.org/10.20914/2310-1202-2018-2-86-92.
Texto completoHuang, Haocai, Bofu Zheng, Yihong Wang y Yan Wei. "Wavelet Neural Network for Modeling Chlorophyll a Concentration Affected by Artificial Upwelling". Mathematical Problems in Engineering 2019 (30 de octubre de 2019): 1–9. http://dx.doi.org/10.1155/2019/4590981.
Texto completoParmar, H. y D. A. Hindoliya. "Artificial neural network based modelling of desiccant wheel". Energy and Buildings 43, n.º 12 (diciembre de 2011): 3505–13. http://dx.doi.org/10.1016/j.enbuild.2011.09.016.
Texto completoDaheb, Kahina, Mark L. Lipman, Patrice Hildgen y Julie J. Roy. "Artificial Neural Network Modeling for Drug Dialyzability Prediction". Journal of Pharmacy & Pharmaceutical Sciences 16, n.º 5 (12 de noviembre de 2013): 665. http://dx.doi.org/10.18433/j35c8b.
Texto completoZakaria, Mamang, Luther Pagiling y Wa Ode Siti Nur Alam. "Sistem Penyiraman Otomatis Tanaman Semusim Berbasis Jaringan Saraf Tiruan Multilayer Perceptron". Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) 7, n.º 1 (27 de febrero de 2022): 35. http://dx.doi.org/10.33772/jfe.v7i1.24050.
Texto completoPavić, Ivica, Frano Tomašević y Ivana Damjanović. "Application of artificial neural networks for external network equivalent modeling". Journal of Energy - Energija 64, n.º 1-4 (29 de junio de 2022): 275–84. http://dx.doi.org/10.37798/2015641-4156.
Texto completoScott, Gary M. y W. Harmon Ray. "Neural Network Process Models Based on Linear Model Structures". Neural Computation 6, n.º 4 (julio de 1994): 718–38. http://dx.doi.org/10.1162/neco.1994.6.4.718.
Texto completoDu, Xin Hui, Shu Niu, Xing Min Wang y Pu Hui Wang. "Study on the Modeling of Main Mine Ventilator Based on Artificial Intelligence". Applied Mechanics and Materials 130-134 (octubre de 2011): 3526–30. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.3526.
Texto completoChayjan, R. A. y M. Esna-Ashari. "Modeling of heat and entropy sorption of maize (cv. Sc704): neural network method". Research in Agricultural Engineering 56, No. 2 (7 de junio de 2010): 69–76. http://dx.doi.org/10.17221/37/2009-rae.
Texto completoSINGH, AMAR PARTAP, TARA SINGH KAMAL y SHAKTI KUMAR. "ARTIFICIAL NEURAL NETWORK BASED SOFT ESTIMATOR FOR ESTIMATION OF TRANSDUCER STATIC NONLINEARITY". International Journal of Neural Systems 14, n.º 04 (agosto de 2004): 237–46. http://dx.doi.org/10.1142/s0129065704001991.
Texto completoZhu, Yu Hua y Dian Zheng Zhuang. "Research of the Steady-State Modeling Method Based on Neural Network". Applied Mechanics and Materials 441 (diciembre de 2013): 526–29. http://dx.doi.org/10.4028/www.scientific.net/amm.441.526.
Texto completoZhang, Kun, Zhen Zhang, Yuning Han, Yinggang Gu, Qinggang Qiu y Xiaojing Zhu. "Artificial neural network modeling for steam ejector design". Applied Thermal Engineering 204 (marzo de 2022): 117939. http://dx.doi.org/10.1016/j.applthermaleng.2021.117939.
Texto completoDerogar, Ali y Faramarz Djavanroodi. "Artificial Neural Network Modeling of Forming Limit Diagram". Materials and Manufacturing Processes 26, n.º 11 (noviembre de 2011): 1415–22. http://dx.doi.org/10.1080/10426914.2010.544818.
Texto completoAndrawis, Robert R., Mohamed A. Swillam, Mohamed A. El-Gamal y Ezzeldin A. Soliman. "Artificial neural network modeling of plasmonic transmission lines". Applied Optics 55, n.º 10 (31 de marzo de 2016): 2780. http://dx.doi.org/10.1364/ao.55.002780.
Texto completoGORUCU, F. B. "Artificial Neural Network Modeling for Forecasting Gas Consumption". Energy Sources 26, n.º 3 (febrero de 2004): 299–307. http://dx.doi.org/10.1080/00908310490256626.
Texto completo