Artículos de revistas sobre el tema "Neural network RBF"
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Zhu, Jian Min, Peng Du y Ting Ting Fu. "Research for RBF Neural Networks Modeling Accuracy of Determining the Basis Function Center Based on Clustering Methods". Advanced Materials Research 317-319 (agosto de 2011): 1529–36. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.1529.
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 completoYakovyna, V. S. "Software failures prediction using RBF neural network". Odes’kyi Politechnichnyi Universytet. Pratsi, n.º 2 (15 de junio de 2015): 111–18. http://dx.doi.org/10.15276/opu.2.46.2015.20.
Texto completoWen, Hui, Tao Yan, Zhiqiang Liu y Deli Chen. "Integrated neural network model with pre-RBF kernels". Science Progress 104, n.º 3 (julio de 2021): 003685042110261. http://dx.doi.org/10.1177/00368504211026111.
Texto completoLiu, Yunbing. "Research on Nonlinear Time Series Processing Method for Automatic Building Construction Management". Journal of Control Science and Engineering 2022 (30 de junio de 2022): 1–6. http://dx.doi.org/10.1155/2022/7025223.
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 completoLi, Hui Jun y Li Zhang. "Prediction of Tensile Strength Based on RBF Neural Network". Advanced Materials Research 476-478 (febrero de 2012): 1309–12. http://dx.doi.org/10.4028/www.scientific.net/amr.476-478.1309.
Texto completoLiu, Dong Dong. "A Method about Load Distribution of Rolling Mills Based on RBF Neural Network". Advanced Materials Research 279 (julio de 2011): 418–22. http://dx.doi.org/10.4028/www.scientific.net/amr.279.418.
Texto completoTsoulos, Ioannis G., Alexandros Tzallas y Evangelos Karvounis. "A Two-Phase Evolutionary Method to Train RBF Networks". Applied Sciences 12, n.º 5 (25 de febrero de 2022): 2439. http://dx.doi.org/10.3390/app12052439.
Texto completoYu, Ying. "GDP Economic Forecasting Model Based on Improved RBF Neural Network". Mathematical Problems in Engineering 2022 (9 de septiembre de 2022): 1–11. http://dx.doi.org/10.1155/2022/7630268.
Texto completoSchmitt, Michael. "Descartes' Rule of Signs for Radial Basis Function Neural Networks". Neural Computation 14, n.º 12 (1 de diciembre de 2002): 2997–3011. http://dx.doi.org/10.1162/089976602760805386.
Texto completoShymkovych, Volodymyr, Sergii Telenyk y Petro Kravets. "Hardware implementation of radial-basis neural networks with Gaussian activation functions on FPGA". Neural Computing and Applications 33, n.º 15 (13 de marzo de 2021): 9467–79. http://dx.doi.org/10.1007/s00521-021-05706-3.
Texto completoMa, Lili, Jiangping Liu y Jidong Luo. "Method of Wireless Sensor Network Data Fusion". International Journal of Online Engineering (iJOE) 13, n.º 09 (22 de septiembre de 2017): 114. http://dx.doi.org/10.3991/ijoe.v13i09.7589.
Texto completoLiu, Li Long, Jun Yu Li, Chen Hui Cai y Guo Biao Lin. "Research on the GPS Elevation Fitting with RBF Neural Network Model Considering Effects of Sample Data Preprocessing". Applied Mechanics and Materials 568-570 (junio de 2014): 817–21. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.817.
Texto completoSheng, Zhong Biao y Xiao Rong Tong. "The Application of RBF Neural Networks in Curve Fitting". Advanced Materials Research 490-495 (marzo de 2012): 688–92. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.688.
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 completoBahita, Mohamed y Khaled Belarbi. "Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator". Serbian Journal of Electrical Engineering 8, n.º 3 (2011): 307–23. http://dx.doi.org/10.2298/sjee1103307b.
Texto completoSu, Hong Sheng. "Stream Turbine Vibration Fault Diagnosis". Applied Mechanics and Materials 340 (julio de 2013): 90–94. http://dx.doi.org/10.4028/www.scientific.net/amm.340.90.
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 completoZeng, Qing Wei, Zhi Hai Xu y Geng Sheng Deng. "Study on Dynamic Load Balance Method Based on Genetic Algorithm and RBF Neural Network". Advanced Materials Research 108-111 (mayo de 2010): 207–10. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.207.
Texto completoTang, Xiaowei, Bing Xu y Zichen Xu. "Reactor Temperature Prediction Method Based on CPSO-RBF-BP Neural Network". Applied Sciences 13, n.º 5 (2 de marzo de 2023): 3230. http://dx.doi.org/10.3390/app13053230.
Texto completo张, 轶. "Option Pricing with BP Neural Network and RBF Neural Network". Statistical and Application 02, n.º 04 (2013): 119–26. http://dx.doi.org/10.12677/sa.2013.24018.
Texto completoLeow, Shoun Ying, Keem Siah Yap y Shen Yuong Wong. "Harmonic current classification using hybrid FAM-RBF neural network". Indonesian Journal of Electrical Engineering and Computer Science 18, n.º 3 (1 de junio de 2020): 1551. http://dx.doi.org/10.11591/ijeecs.v18.i3.pp1551-1558.
Texto completoLv, Bailin y Yizhang Jiang. "Prediction of Short-Term Stock Price Trend Based on Multiview RBF Neural Network". Computational Intelligence and Neuroscience 2021 (28 de noviembre de 2021): 1–13. http://dx.doi.org/10.1155/2021/8495288.
Texto completoWang, Wu y Zheng Yin Zhao. "Application of Adaptive RBF-SMC for Electro-Hydraulic Position Servo System". Advanced Materials Research 463-464 (febrero de 2012): 1440–44. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1440.
Texto completoXiao, Lijun y Yan Luo. "The Application of RBF Neural Network Model Based on Deep Learning for Flower Pattern Design in Art Teaching". Computational Intelligence and Neuroscience 2022 (13 de junio de 2022): 1–9. http://dx.doi.org/10.1155/2022/4206857.
Texto completoLee, N. K. y D. Wang. "Realization of Generalized RBF Network". Journal of IT in Asia 1, n.º 1 (21 de julio de 2017): 1–16. http://dx.doi.org/10.33736/jita.400.2005.
Texto completoWu, Hong Qi y Xiao Bin Li. "Research on Intelligent Diagnosis Technology of Transformer Fault". Applied Mechanics and Materials 385-386 (agosto de 2013): 589–92. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.589.
Texto completoDawson, C. W., C. Harpham, R. L. Wilby y Y. Chen. "Evaluation of artificial neural network techniques for flow forecasting in the River Yangtze, China". Hydrology and Earth System Sciences 6, n.º 4 (31 de agosto de 2002): 619–26. http://dx.doi.org/10.5194/hess-6-619-2002.
Texto completoXie, Xiao Zhu y Xing Lai Guan. "A Novel Control Scheme Based on Improved RBF Neural Network". Applied Mechanics and Materials 182-183 (junio de 2012): 1313–17. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.1313.
Texto completoHu, Peitao y Liu Changliang. "Soft-sensing of NOx content in power Station based on BP Neural Network, RBF Neural Network and PCA-RBF Neural Network". IOP Conference Series: Materials Science and Engineering 392, n.º 6 (3 de agosto de 2018): 062180. http://dx.doi.org/10.1088/1757-899x/392/6/062180.
Texto completoDing, Shuo, Xiao Heng Chang y Qing Hui Wu. "Fault Diagnosis of Induction Motors Based on RBF Neural Network". Applied Mechanics and Materials 462-463 (noviembre de 2013): 85–88. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.85.
Texto completoYu, Cheng Bo, Jun Tan, Lei Yu y Yin Li Tian. "A Finger Vein Recognition Method Based on PCA-RBF Neural Network". Applied Mechanics and Materials 325-326 (junio de 2013): 1653–58. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.1653.
Texto completoLiu, Wei, Feifan Wang, Xiawei Yang y Wenya Li. "Upset Prediction in Friction Welding Using Radial Basis Function Neural Network". Advances in Materials Science and Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/196382.
Texto completoLiu, Xi Mei, Xiao Hui Yao, Qian Zhao y Hong Mi Guo. "Application of RBF Neural Network in Fault Diagnosis for Transmission Gear". Advanced Materials Research 433-440 (enero de 2012): 7563–68. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.7563.
Texto completoYu, Meixia, Xiaoping Zheng y Chuanhui Zhao. "Research on the Prediction Method of Clock Tester Calibration Data Based on Radial Basis Function Neural Network". Electronics 12, n.º 22 (17 de noviembre de 2023): 4677. http://dx.doi.org/10.3390/electronics12224677.
Texto completoHuang, Yifan, Ziwei Xiong, Yubin Zhao, Wei Wang y Xingming Xu. "Mid-long-term prediction of electrical load based on particle swarm optimization and RBF neural network". Journal of Physics: Conference Series 2355, n.º 1 (1 de octubre de 2022): 012049. http://dx.doi.org/10.1088/1742-6596/2355/1/012049.
Texto completoYin, Rongwang, Qingyu Li, Peichao Li y Detang Lu. "Parameter Identification of Multistage Fracturing Horizontal Well Based on PSO-RBF Neural Network". Scientific Programming 2020 (3 de julio de 2020): 1–11. http://dx.doi.org/10.1155/2020/6810903.
Texto completoLi, Yong Wei, Zhi Gang Ye y Chao Chao Huo. "The Method Research of Grey Neural Network Control Based on Data". Applied Mechanics and Materials 602-605 (agosto de 2014): 1131–34. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1131.
Texto completoSoper, Daniel S. "Using an Opportunity Matrix to Select Centers for RBF Neural Networks". Algorithms 16, n.º 10 (23 de septiembre de 2023): 455. http://dx.doi.org/10.3390/a16100455.
Texto completoTan, Yun Liang y Ze Zhang. "A RBF Neural Network Approach for Fitting Creep Curve of Sandstone". Advanced Materials Research 171-172 (diciembre de 2010): 274–77. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.274.
Texto completoZhang, Meifeng, Yongxin Li, Jianwen Cai, Fuhao Chen y Xin Miao. "Research on fault diagnosis of diesel engine based on PCA-RBF neural network". Modern Physics Letters B 32, n.º 34n36 (30 de diciembre de 2018): 1840099. http://dx.doi.org/10.1142/s0217984918400997.
Texto completoFang, Yu, Zheng Wei Chang, Hao Wu y Xian Feng Tang. "Identification the Faulty Components in Power Networks Based on Wide Area Information and RBF Neural Network". Applied Mechanics and Materials 568-570 (junio de 2014): 842–47. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.842.
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 completoYang, Qin, Zhaofa Ye, Xuzheng Li, Daozhu Wei, Shunhua Chen y Zhirui Li. "Prediction of Flight Status of Logistics UAVs Based on an Information Entropy Radial Basis Function Neural Network". Sensors 21, n.º 11 (24 de mayo de 2021): 3651. http://dx.doi.org/10.3390/s21113651.
Texto completoZhang, Liu. "Research of Automotive Glass Fog System Based on RBF Neural Network". Advanced Materials Research 588-589 (noviembre de 2012): 1441–45. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.1441.
Texto completoChen, Dong. "Evaluation Model of Physical Education Effect: On the Application of Radial Basis Function-Particle Swarm Optimization Neural Network (RBFNN-PSO)". Computational Intelligence and Neuroscience 2021 (30 de julio de 2021): 1–11. http://dx.doi.org/10.1155/2021/6819493.
Texto completoChang, Wen Yeau. "State of Charge Estimation for LFP Battery Using the Hybrid Method". Applied Mechanics and Materials 431 (octubre de 2013): 221–25. http://dx.doi.org/10.4028/www.scientific.net/amm.431.221.
Texto completoNedbalek, Jakub. "Rbf Neural Networks for Function Approximation in Dynamic Modelling". Journal of Konbin 8, n.º 1 (1 de enero de 2008): 223–32. http://dx.doi.org/10.2478/v10040-008-0115-6.
Texto completoWilkins, M. F., Lynne Boddy, C. W. Morris y R. R. Jonker. "Identification of Phytoplankton from Flow Cytometry Data by Using Radial Basis Function Neural Networks". Applied and Environmental Microbiology 65, n.º 10 (1 de octubre de 1999): 4404–10. http://dx.doi.org/10.1128/aem.65.10.4404-4410.1999.
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