Artículos de revistas sobre el tema "Radial basis function (RBF) model"
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Hu, Shan-Feng, Hong-Bin Zhu y Lei Zhao. "Radial basis function and its application in tourism management". Modern Physics Letters B 32, n.º 12n13 (10 de mayo de 2018): 1840054. http://dx.doi.org/10.1142/s0217984918400547.
Texto completoWu, Yue, Hui Wang, Biaobiao Zhang y K. L. Du. "Using Radial Basis Function Networks for Function Approximation and Classification". ISRN Applied Mathematics 2012 (6 de marzo de 2012): 1–34. http://dx.doi.org/10.5402/2012/324194.
Texto completoHolmes, C. C. y B. K. Mallick. "Bayesian Radial Basis Functions of Variable Dimension". Neural Computation 10, n.º 5 (1 de julio de 1998): 1217–33. http://dx.doi.org/10.1162/089976698300017421.
Texto completoShao, Changpeng. "Quantum speedup of training radial basis function networks". Quantum Information and Computation 19, n.º 7&8 (junio de 2019): 609–25. http://dx.doi.org/10.26421/qic19.7-8-6.
Texto completoEl Shafie, Amr H., A. El-Shafie, A. Almukhtar, Mohd R. Taha, Hasan G. El Mazoghi y A. Shehata. "Radial basis function neural networks for reliably forecasting rainfall". Journal of Water and Climate Change 3, n.º 2 (1 de junio de 2012): 125–38. http://dx.doi.org/10.2166/wcc.2012.017.
Texto completoLin, W., M. H. Wu y S. Duan. "Engine Test Data Modelling by Evolutionary Radial Basis Function Networks". Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 217, n.º 6 (1 de junio de 2003): 489–97. http://dx.doi.org/10.1243/095440703766518113.
Texto completoPark, Byungkyu, Carroll J. Messer y Thomas Urbanik. "Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network". Transportation Research Record: Journal of the Transportation Research Board 1651, n.º 1 (enero de 1998): 39–47. http://dx.doi.org/10.3141/1651-06.
Texto completoYang, Qing Wei, Nai Chao Wang y Ma Lin. "Application of Radial Basis Function Neural Network to Support Concept Evaluation". Advanced Materials Research 472-475 (febrero de 2012): 1926–31. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.1926.
Texto completoKu, Cheng-Yu, Chih-Yu Liu y Frank T. C. Tsai. "A Novel Radial Basis Function Approach for Infiltration-Induced Landslides in Unsaturated Soils". Water 14, n.º 7 (25 de marzo de 2022): 1036. http://dx.doi.org/10.3390/w14071036.
Texto completoChen, Gan. "Multimedia Security Situation Prediction Based on Optimization of Radial Basis Function Neural Network Algorithm". Computational Intelligence and Neuroscience 2022 (8 de abril de 2022): 1–8. http://dx.doi.org/10.1155/2022/6314262.
Texto completoNik, Amirhossein y Jawad Faiz. "Optimization of synchronous reluctance motor based on radial basis network". Serbian Journal of Electrical Engineering 17, n.º 2 (2020): 223–34. http://dx.doi.org/10.2298/sjee2002223n.
Texto completoDu, H., L. Zhang y X. Shi. "Reconstructing cylinder pressure from vibration signals based on radial basis function networks". Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 215, n.º 6 (1 de junio de 2001): 761–67. http://dx.doi.org/10.1243/0954407011528338.
Texto completoNUNES DE CASTRO, LEANDRO y FERNANDO J. VON ZUBEN. "AUTOMATIC DETERMINATION OF RADIAL BASIS FUNCTIONS: AN IMMUNITY-BASED APPROACH". International Journal of Neural Systems 11, n.º 06 (diciembre de 2001): 523–35. http://dx.doi.org/10.1142/s0129065701000941.
Texto completoLONG, NANYE, DANIEL GIANOLA, GUILHERME J. M. ROSA, KENT A. WEIGEL, ANDREAS KRANIS y OSCAR GONZÁLEZ-RECIO. "Radial basis function regression methods for predicting quantitative traits using SNP markers". Genetics Research 92, n.º 3 (junio de 2010): 209–25. http://dx.doi.org/10.1017/s0016672310000157.
Texto completoTroy, Troy y Pranowo Pranowo. "Transformasi Ruang 2D Ke 3D Pada Animasi Wajah Berbasis Data Marker Menggunakan Radial Basis Function". Journal of Animation & Games Studies 2, n.º 2 (18 de diciembre de 2016): 229. http://dx.doi.org/10.24821/jags.v2i2.1422.
Texto completoZhang, Bi, Jia Yang Wang y Su Lan Zhang. "A New PSO-RBF Model for Groundwater Quality Assessment". Advanced Materials Research 463-464 (febrero de 2012): 922–25. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.922.
Texto completoChen, Tongqing, Lei Wang, Xijuan Jiang, Yubin Wang y Kai Yan. "Finite Element Model Modification of Arch Bridge Based on Radial Basis Function Neural Network". E3S Web of Conferences 136 (2019): 04033. http://dx.doi.org/10.1051/e3sconf/201913604033.
Texto completoZhang, Hong, Zhi Guo Lei, Jian Guo y Zhao Yu Pian. "Short Term Load Forecasting Based on Improved RBF Neural Network". Advanced Materials Research 860-863 (diciembre de 2013): 2610–13. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.2610.
Texto completoGan, Xu Sheng y Hai Long Gao. "Research on Learning Algorithm of RBF Neural Network Based on Extended Kalman Filter". Advanced Materials Research 989-994 (julio de 2014): 2705–8. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2705.
Texto completoLiu, Rui Fang. "Wind Power Generation Prediction by Particle Swarm Optimization Algorithm and RBF Neural Network". Advanced Materials Research 433-440 (enero de 2012): 2099–102. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.2099.
Texto completoYu, Fa Hong, Mei Jia Chen y Wei Zhi Liao. "A Novel Learning Evaluation Method Based on RBF Neural Network". Applied Mechanics and Materials 385-386 (agosto de 2013): 1697–700. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1697.
Texto completoTomczyk, Krzysztof, Marcin Piekarczyk y Grzegorz Sokal. "Radial Basis Functions Intended to Determine the Upper Bound of Absolute Dynamic Error at the Output of Voltage-Mode Accelerometers". Sensors 19, n.º 19 (25 de septiembre de 2019): 4154. http://dx.doi.org/10.3390/s19194154.
Texto completoZhang, Huan, Menghong Yu y Wei Yuan. "Cutting Process Model Design of Cutter Suction Dredger Based on Auto Regressive eXogenous and Radial Basis Function model". Journal of Physics: Conference Series 2137, n.º 1 (1 de diciembre de 2021): 012064. http://dx.doi.org/10.1088/1742-6596/2137/1/012064.
Texto completoHUANG, JEFFREY y HARRY WECHSLER. "EYE DETECTION USING OPTIMAL WAVELET PACKETS AND RADIAL BASIS FUNCTIONS (RBFs)". International Journal of Pattern Recognition and Artificial Intelligence 13, n.º 07 (noviembre de 1999): 1009–25. http://dx.doi.org/10.1142/s0218001499000562.
Texto completoKarsh, P. K., R. R. Kumar y S. Dey. "Radial Basis Function-Based Stochastic Natural Frequencies Analysis of Functionally Graded Plates". International Journal of Computational Methods 17, n.º 09 (7 de agosto de 2019): 1950061. http://dx.doi.org/10.1142/s0219876219500610.
Texto completoWang, Hong Xiang y Wen Xian Guo. "Upgrading Water Distribution System Based on GA-RBF Neural Network Model". Advanced Materials Research 267 (junio de 2011): 605–8. http://dx.doi.org/10.4028/www.scientific.net/amr.267.605.
Texto completoLuan, Tiantian, Mingxiao Sun, Guoqing Xia y Daidai Chen. "Evaluation for Sortie Generation Capacity of the Carrier Aircraft Based on the Variable Structure RBF Neural Network with the Fast Learning Rate". Complexity 2018 (22 de octubre de 2018): 1–19. http://dx.doi.org/10.1155/2018/6950124.
Texto completoYu, Jian Li y Rui Fang Zhou. "Process Monitoring and Adjustment Based on Optimal RBF Network". Applied Mechanics and Materials 336-338 (julio de 2013): 1286–91. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.1286.
Texto completoFeng, Baiwei, Chengsheng Zhan, Zuyuan Liu, Xide Cheng y Haichao Chang. "Application of Basis Functions for Hull Form Surface Modification". Journal of Marine Science and Engineering 9, n.º 9 (14 de septiembre de 2021): 1005. http://dx.doi.org/10.3390/jmse9091005.
Texto completoSun, Xiao, Shi Fan Qiao y Ji Ren Xie. "The Study of Precipitation Forecast Model on EMD-RBF Neural Network - A Case Study on Northeast China". Applied Mechanics and Materials 641-642 (septiembre de 2014): 119–22. http://dx.doi.org/10.4028/www.scientific.net/amm.641-642.119.
Texto completoDuan, Ping, Yehua Sheng, Siyang Zhang, Haiyang Lv y Jia Li. "DEM Reconstruction Based on Adaptive Local RBF". Open Civil Engineering Journal 8, n.º 1 (29 de septiembre de 2014): 232–36. http://dx.doi.org/10.2174/1874149501408010232.
Texto completoLi, Zhen, Jianping Hao y Cuijuan Gao. "Equipment Maintenance Support Effectiveness Evaluation Based on Improved Generative Adversarial Network and Radial Basis Function Network". Complexity 2021 (8 de noviembre de 2021): 1–11. http://dx.doi.org/10.1155/2021/1332242.
Texto completoYang, Yongkang, Qiaoyi Du, Chenlong Wang y Yu Bai. "Research on the Method of Methane Emission Prediction Using Improved Grey Radial Basis Function Neural Network Model". Energies 13, n.º 22 (21 de noviembre de 2020): 6112. http://dx.doi.org/10.3390/en13226112.
Texto completoTolu, Silvia, Mauricio Vanegas, Rodrigo Agís, Richard Carrillo y Antonio Cañas. "Dynamics Model Abstraction Scheme Using Radial Basis Functions". Journal of Control Science and Engineering 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/761019.
Texto completoSanwale, Jitu y Dhan Jeet Singh. "Aerodynamic Parameters Estimation Using Radial Basis Function Neural Partial Differentiation Method". Defence Science Journal 68, n.º 3 (16 de abril de 2018): 241. http://dx.doi.org/10.14429/dsj.68.11843.
Texto completoAhmed, Kamal, Shamsuddin Shahid y Sobri Harun. "Statistical Downscaling of Rainfall in an Arid Coastal Region: A Radial Basis Function Neural Network Approach". Applied Mechanics and Materials 735 (febrero de 2015): 190–94. http://dx.doi.org/10.4028/www.scientific.net/amm.735.190.
Texto completoLi, Yue, Xiaoquan Chu, Zetian Fu, Jianying Feng y Weisong Mu. "Shelf life prediction model of postharvest table grape using optimized radial basis function (RBF) neural network". British Food Journal 121, n.º 11 (24 de octubre de 2019): 2919–36. http://dx.doi.org/10.1108/bfj-03-2019-0183.
Texto completoSujatmiko, Bagus Sayekti, Hermawan Andika y Timothy John Pattiasina. "Perancangan dan Pembuatan Aplikasi Untuk Mengukur Efektivitas Produksi Berdasarkan Permintaan Pelanggan Dengan Metode Radial Basis Function". Teknika 5, n.º 1 (9 de marzo de 2017): 38–42. http://dx.doi.org/10.34148/teknika.v5i1.50.
Texto completoAlabi, I. O. y R. G. Jimoh. "Financial Fraud Detection using Radial Basis Network". Circulation in Computer Science 3, n.º 1 (25 de enero de 2018): 10–21. http://dx.doi.org/10.22632/ccs-2017-252-71.
Texto completoLiu, Jichao, Cheng Wang, Peiyu Zhang, Min Gui, Lijia Tong y Bin Li. "Study on the Nondestructive Measurement of Aluminized Thickness Based on Radial Basis Function Neural Network by X-ray Fluorescence". Coatings 10, n.º 8 (1 de agosto de 2020): 754. http://dx.doi.org/10.3390/coatings10080754.
Texto completoAbakar, Khalid AA y Chongwen Yu. "The Spinning Quality Control Management Based on Decision Making by Data Mining Techniques". International Journal of Emerging Research in Management and Technology 7, n.º 1 (11 de junio de 2018): 72. http://dx.doi.org/10.23956/ijermt.v7i1.25.
Texto completoHe, Bin. "Developing a leap-frog meshless methods with radial basis functions for modeling of electromagnetic concentrator". AIMS Mathematics 7, n.º 9 (2022): 17133–49. http://dx.doi.org/10.3934/math.2022943.
Texto completoKalita, Kanak, Shankar Chakraborty, S. Madhu, Manickam Ramachandran y Xiao-Zhi Gao. "Performance Analysis of Radial Basis Function Metamodels for Predictive Modelling of Laminated Composites". Materials 14, n.º 12 (15 de junio de 2021): 3306. http://dx.doi.org/10.3390/ma14123306.
Texto completoFlyer, Natasha y Grady B. Wright. "A radial basis function method for the shallow water equations on a sphere". Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 465, n.º 2106 (abril de 2009): 1949–76. http://dx.doi.org/10.1098/rspa.2009.0033.
Texto completoYavari, H., P. Pahlavani y B. Bigdeli. "LANDSLIDE HAZARD MAPPING USING A RADIAL BASIS FUNCTION NEURAL NETWORK MODEL: A CASE STUDY IN SEMIROM, ISFAHAN, IRAN". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (19 de octubre de 2019): 1085–90. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-1085-2019.
Texto completoYao, Jing, Yuanhao Chen, Siyuan Yang, Yuhui Wang, Tao Li, Bo Zhu, Guanyin Cheng y Xueqin Liu. "A hybrid model with dual channel feature processing for short-term photovoltaic power prediction". Journal of Physics: Conference Series 2247, n.º 1 (1 de abril de 2022): 012002. http://dx.doi.org/10.1088/1742-6596/2247/1/012002.
Texto completoHage Hassan, Maya, Ghislain Remy, Guillaume Krebs y Claude Marchand. "Radial output space mapping for electromechanical systems design". COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, n.º 3 (29 de abril de 2014): 965–75. http://dx.doi.org/10.1108/compel-05-2013-0192.
Texto completoEbtehaj, Isa, Hossein Bonakdari y Amir Hossein Zaji. "An expert system with radial basis function neural network based on decision trees for predicting sediment transport in sewers". Water Science and Technology 74, n.º 1 (22 de abril de 2016): 176–83. http://dx.doi.org/10.2166/wst.2016.174.
Texto completoLu, Jinna, Hongping Hu y Yanping Bai. "Radial Basis Function Neural Network Based on an Improved Exponential Decreasing Inertia Weight-Particle Swarm Optimization Algorithm for AQI Prediction". Abstract and Applied Analysis 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/178313.
Texto completoSun, Binbin, Tiezhu Zhang, Wenqing Ge, Cao Tan y Song Gao. "Driving energy management of front-and-rear-motor-drive electric vehicle based on hybrid radial basis function". Archives of Transport 49, n.º 1 (31 de marzo de 2019): 47–58. http://dx.doi.org/10.5604/01.3001.0013.2775.
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