Статті в журналах з теми "Neural network RBF"
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Zhu, Jian Min, Peng Du, and 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 (August 2011): 1529–36. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.1529.
Повний текст джерелаLuan, Tiantian, Mingxiao Sun, Guoqing Xia, and 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 (October 22, 2018): 1–19. http://dx.doi.org/10.1155/2018/6950124.
Повний текст джерелаYakovyna, V. S. "Software failures prediction using RBF neural network." Odes’kyi Politechnichnyi Universytet. Pratsi, no. 2 (June 15, 2015): 111–18. http://dx.doi.org/10.15276/opu.2.46.2015.20.
Повний текст джерелаWen, Hui, Tao Yan, Zhiqiang Liu, and Deli Chen. "Integrated neural network model with pre-RBF kernels." Science Progress 104, no. 3 (July 2021): 003685042110261. http://dx.doi.org/10.1177/00368504211026111.
Повний текст джерелаLiu, Yunbing. "Research on Nonlinear Time Series Processing Method for Automatic Building Construction Management." Journal of Control Science and Engineering 2022 (June 30, 2022): 1–6. http://dx.doi.org/10.1155/2022/7025223.
Повний текст джерелаYu, Fa Hong, Mei Jia Chen, and Wei Zhi Liao. "A Novel Learning Evaluation Method Based on RBF Neural Network." Applied Mechanics and Materials 385-386 (August 2013): 1697–700. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1697.
Повний текст джерелаLi, Hui Jun, and Li Zhang. "Prediction of Tensile Strength Based on RBF Neural Network." Advanced Materials Research 476-478 (February 2012): 1309–12. http://dx.doi.org/10.4028/www.scientific.net/amr.476-478.1309.
Повний текст джерелаLiu, Dong Dong. "A Method about Load Distribution of Rolling Mills Based on RBF Neural Network." Advanced Materials Research 279 (July 2011): 418–22. http://dx.doi.org/10.4028/www.scientific.net/amr.279.418.
Повний текст джерелаTsoulos, Ioannis G., Alexandros Tzallas, and Evangelos Karvounis. "A Two-Phase Evolutionary Method to Train RBF Networks." Applied Sciences 12, no. 5 (February 25, 2022): 2439. http://dx.doi.org/10.3390/app12052439.
Повний текст джерелаYu, Ying. "GDP Economic Forecasting Model Based on Improved RBF Neural Network." Mathematical Problems in Engineering 2022 (September 9, 2022): 1–11. http://dx.doi.org/10.1155/2022/7630268.
Повний текст джерелаSchmitt, Michael. "Descartes' Rule of Signs for Radial Basis Function Neural Networks." Neural Computation 14, no. 12 (December 1, 2002): 2997–3011. http://dx.doi.org/10.1162/089976602760805386.
Повний текст джерелаShymkovych, Volodymyr, Sergii Telenyk, and Petro Kravets. "Hardware implementation of radial-basis neural networks with Gaussian activation functions on FPGA." Neural Computing and Applications 33, no. 15 (March 13, 2021): 9467–79. http://dx.doi.org/10.1007/s00521-021-05706-3.
Повний текст джерелаMa, Lili, Jiangping Liu, and Jidong Luo. "Method of Wireless Sensor Network Data Fusion." International Journal of Online Engineering (iJOE) 13, no. 09 (September 22, 2017): 114. http://dx.doi.org/10.3991/ijoe.v13i09.7589.
Повний текст джерелаLiu, Li Long, Jun Yu Li, Chen Hui Cai, and 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 (June 2014): 817–21. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.817.
Повний текст джерелаSheng, Zhong Biao, and Xiao Rong Tong. "The Application of RBF Neural Networks in Curve Fitting." Advanced Materials Research 490-495 (March 2012): 688–92. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.688.
Повний текст джерелаGan, Xu Sheng, and Hai Long Gao. "Research on Learning Algorithm of RBF Neural Network Based on Extended Kalman Filter." Advanced Materials Research 989-994 (July 2014): 2705–8. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2705.
Повний текст джерелаBahita, Mohamed, and Khaled Belarbi. "Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator." Serbian Journal of Electrical Engineering 8, no. 3 (2011): 307–23. http://dx.doi.org/10.2298/sjee1103307b.
Повний текст джерелаSu, Hong Sheng. "Stream Turbine Vibration Fault Diagnosis." Applied Mechanics and Materials 340 (July 2013): 90–94. http://dx.doi.org/10.4028/www.scientific.net/amm.340.90.
Повний текст джерелаChen, Tongqing, Lei Wang, Xijuan Jiang, Yubin Wang, and 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.
Повний текст джерелаZeng, Qing Wei, Zhi Hai Xu, and Geng Sheng Deng. "Study on Dynamic Load Balance Method Based on Genetic Algorithm and RBF Neural Network." Advanced Materials Research 108-111 (May 2010): 207–10. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.207.
Повний текст джерелаTang, Xiaowei, Bing Xu, and Zichen Xu. "Reactor Temperature Prediction Method Based on CPSO-RBF-BP Neural Network." Applied Sciences 13, no. 5 (March 2, 2023): 3230. http://dx.doi.org/10.3390/app13053230.
Повний текст джерела张, 轶. "Option Pricing with BP Neural Network and RBF Neural Network." Statistical and Application 02, no. 04 (2013): 119–26. http://dx.doi.org/10.12677/sa.2013.24018.
Повний текст джерелаLeow, Shoun Ying, Keem Siah Yap, and Shen Yuong Wong. "Harmonic current classification using hybrid FAM-RBF neural network." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 3 (June 1, 2020): 1551. http://dx.doi.org/10.11591/ijeecs.v18.i3.pp1551-1558.
Повний текст джерелаLv, Bailin, and Yizhang Jiang. "Prediction of Short-Term Stock Price Trend Based on Multiview RBF Neural Network." Computational Intelligence and Neuroscience 2021 (November 28, 2021): 1–13. http://dx.doi.org/10.1155/2021/8495288.
Повний текст джерелаWang, Wu, and Zheng Yin Zhao. "Application of Adaptive RBF-SMC for Electro-Hydraulic Position Servo System." Advanced Materials Research 463-464 (February 2012): 1440–44. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1440.
Повний текст джерелаXiao, Lijun, and 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 (June 13, 2022): 1–9. http://dx.doi.org/10.1155/2022/4206857.
Повний текст джерелаLee, N. K., and D. Wang. "Realization of Generalized RBF Network." Journal of IT in Asia 1, no. 1 (July 21, 2017): 1–16. http://dx.doi.org/10.33736/jita.400.2005.
Повний текст джерелаWu, Hong Qi, and Xiao Bin Li. "Research on Intelligent Diagnosis Technology of Transformer Fault." Applied Mechanics and Materials 385-386 (August 2013): 589–92. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.589.
Повний текст джерелаDawson, C. W., C. Harpham, R. L. Wilby, and Y. Chen. "Evaluation of artificial neural network techniques for flow forecasting in the River Yangtze, China." Hydrology and Earth System Sciences 6, no. 4 (August 31, 2002): 619–26. http://dx.doi.org/10.5194/hess-6-619-2002.
Повний текст джерелаXie, Xiao Zhu, and Xing Lai Guan. "A Novel Control Scheme Based on Improved RBF Neural Network." Applied Mechanics and Materials 182-183 (June 2012): 1313–17. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.1313.
Повний текст джерелаHu, Peitao, and 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, no. 6 (August 3, 2018): 062180. http://dx.doi.org/10.1088/1757-899x/392/6/062180.
Повний текст джерелаDing, Shuo, Xiao Heng Chang, and Qing Hui Wu. "Fault Diagnosis of Induction Motors Based on RBF Neural Network." Applied Mechanics and Materials 462-463 (November 2013): 85–88. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.85.
Повний текст джерелаYu, Cheng Bo, Jun Tan, Lei Yu, and Yin Li Tian. "A Finger Vein Recognition Method Based on PCA-RBF Neural Network." Applied Mechanics and Materials 325-326 (June 2013): 1653–58. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.1653.
Повний текст джерелаLiu, Wei, Feifan Wang, Xiawei Yang, and 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.
Повний текст джерелаLiu, Xi Mei, Xiao Hui Yao, Qian Zhao, and Hong Mi Guo. "Application of RBF Neural Network in Fault Diagnosis for Transmission Gear." Advanced Materials Research 433-440 (January 2012): 7563–68. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.7563.
Повний текст джерелаYu, Meixia, Xiaoping Zheng, and Chuanhui Zhao. "Research on the Prediction Method of Clock Tester Calibration Data Based on Radial Basis Function Neural Network." Electronics 12, no. 22 (November 17, 2023): 4677. http://dx.doi.org/10.3390/electronics12224677.
Повний текст джерелаHuang, Yifan, Ziwei Xiong, Yubin Zhao, Wei Wang, and Xingming Xu. "Mid-long-term prediction of electrical load based on particle swarm optimization and RBF neural network." Journal of Physics: Conference Series 2355, no. 1 (October 1, 2022): 012049. http://dx.doi.org/10.1088/1742-6596/2355/1/012049.
Повний текст джерелаYin, Rongwang, Qingyu Li, Peichao Li, and Detang Lu. "Parameter Identification of Multistage Fracturing Horizontal Well Based on PSO-RBF Neural Network." Scientific Programming 2020 (July 3, 2020): 1–11. http://dx.doi.org/10.1155/2020/6810903.
Повний текст джерелаLi, Yong Wei, Zhi Gang Ye, and Chao Chao Huo. "The Method Research of Grey Neural Network Control Based on Data." Applied Mechanics and Materials 602-605 (August 2014): 1131–34. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1131.
Повний текст джерелаSoper, Daniel S. "Using an Opportunity Matrix to Select Centers for RBF Neural Networks." Algorithms 16, no. 10 (September 23, 2023): 455. http://dx.doi.org/10.3390/a16100455.
Повний текст джерелаTan, Yun Liang, and Ze Zhang. "A RBF Neural Network Approach for Fitting Creep Curve of Sandstone." Advanced Materials Research 171-172 (December 2010): 274–77. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.274.
Повний текст джерелаZhang, Meifeng, Yongxin Li, Jianwen Cai, Fuhao Chen, and Xin Miao. "Research on fault diagnosis of diesel engine based on PCA-RBF neural network." Modern Physics Letters B 32, no. 34n36 (December 30, 2018): 1840099. http://dx.doi.org/10.1142/s0217984918400997.
Повний текст джерелаFang, Yu, Zheng Wei Chang, Hao Wu, and 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 (June 2014): 842–47. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.842.
Повний текст джерелаYang, Yongkang, Qiaoyi Du, Chenlong Wang, and Yu Bai. "Research on the Method of Methane Emission Prediction Using Improved Grey Radial Basis Function Neural Network Model." Energies 13, no. 22 (November 21, 2020): 6112. http://dx.doi.org/10.3390/en13226112.
Повний текст джерелаYang, Qin, Zhaofa Ye, Xuzheng Li, Daozhu Wei, Shunhua Chen, and Zhirui Li. "Prediction of Flight Status of Logistics UAVs Based on an Information Entropy Radial Basis Function Neural Network." Sensors 21, no. 11 (May 24, 2021): 3651. http://dx.doi.org/10.3390/s21113651.
Повний текст джерелаZhang, Liu. "Research of Automotive Glass Fog System Based on RBF Neural Network." Advanced Materials Research 588-589 (November 2012): 1441–45. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.1441.
Повний текст джерелаChen, 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 (July 30, 2021): 1–11. http://dx.doi.org/10.1155/2021/6819493.
Повний текст джерелаChang, Wen Yeau. "State of Charge Estimation for LFP Battery Using the Hybrid Method." Applied Mechanics and Materials 431 (October 2013): 221–25. http://dx.doi.org/10.4028/www.scientific.net/amm.431.221.
Повний текст джерелаNedbalek, Jakub. "Rbf Neural Networks for Function Approximation in Dynamic Modelling." Journal of Konbin 8, no. 1 (January 1, 2008): 223–32. http://dx.doi.org/10.2478/v10040-008-0115-6.
Повний текст джерелаWilkins, M. F., Lynne Boddy, C. W. Morris, and R. R. Jonker. "Identification of Phytoplankton from Flow Cytometry Data by Using Radial Basis Function Neural Networks." Applied and Environmental Microbiology 65, no. 10 (October 1, 1999): 4404–10. http://dx.doi.org/10.1128/aem.65.10.4404-4410.1999.
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