[1] LI H,HAN L,DUAN R,et al.Analysis of thesynchronization requirements of 5g and corresponding solutions[J].IEEE Communications Standards Magazine,2017,1(1):52-58.
[2] 李芳,胡昌军,徐云斌,赵文玉.5G承载需求和技术方案分析(上篇)[J].通信世界,2018(21):45-47. Li Fang,Hu Changjun,Xu Yunbin,Zhao Wenyu.Analysis of 5G bearer requirements and technical solutions (Part I)[J].Communications World,2018(21):45-47.(in Chinese)
[3] 伍贻威.卫星导航系统时间尺度的研究与应用[D].国防科学技术大学,2011.
[4] 林福国,胡昌军,田宇,等.国内外时间和频率标准最新进展[J].现代电信科技,2015(6):16-20. Lin Guofu,Hu Changjun,Tian Yu,et al.The new development of the standard of frequency synchronization and time synchronization[J].Modern Science & Technology of Telecommunication,2015(6):16-20.(in Chinese)
[5] 王莉萍,徐亮.时频计量体系守时系统与原子时算法[J].上海计量测试,2017,44(5):33-35. Wang Liping,Xu Liang.Exploration of time keeping system and atomic time algorithm in time andfrequencymeasurement system[J].Shanghai Measurement and Testing,2017,44(5):33-35.(in Chinese)
[6] Cong S,Xiang W.Design and selection of construction,parameters and training method of BP network[J].Computer Engineering,2001,(10):36-38.
[7] Deng J,Lee C F,Ge X.Application of BP network and genetic algorithm to displacement back analysis of rock slopes[J].Chinese Journal of Rock Mechanics & Engineering,2001,(1):1-5.
[8] Luo C H.Realization of BP network based on neual network tool kit in MATLAB[J].Computer Simulation,2004,21(5):109-112.
[9] Yao Yibo,WangJiliang.Research on raising "BP" network training speed[J].Heilongjiang Electronic Technology,2002.(1):4-6.
[10] Zhong Y,Wang B W.BP network sequence prediction model based on genetic algorithm[J].Systems Engineering & Electronics,2002,24(4):9-11.
[11] Hua H Y,Zhong X Z.A self-adaptive learning algorithm for BP network[J].Systems Engineering-Theory & Practice,2000,20(1):93-98.
[12] Ju J,Zhuo R.Convenient realization of BP networks on MATLAB[J].Journal of Xinjiang Petroledm Institute,1999,(2):42-46.
[13] Zuo Y B,Zhang H C.An improved rapid algorithm for BP network[J].Journal of Beijing Institute of Machinery,2005,20(1):31-34.
[14] Wang H,He X.Study of improving generalization of BP network[J].Systems Engineering & Electronics,2001(3):85-87,101.
[15] Huang L,Huang J,Wang W.The sustainable development assessment of reservoir resettlement based on a BP neural network[J].International Journal of Environmental Research & Public Health,2018,15(1):146.
[16] 梁燕红.基于改进BP神经网络的关联挖掘模型设计[J].现代电子技术,2018,41(2):163-165. Liang Y,University Y N.Design of association mining model based on improved BP neuralnetwork[J].Modern Electronics Technique,2018,41(2):163-165.(in Chinese)
[17] 韩亚军.基于神经网络的相空间重构短期风速发电功率在线预测[J].装备制造技术,2018,(4):26-29,44. Han Y J.Phasespace reconstruction online prediction of short-term wind speed power generation based on BP neural network of wind farms[J].Equipment Manufacturing Technology,2018,(4):26-29,44.(in Chinese)
[18] Liu C,Zhou J.An improved algorithm of BP neural network and its application[J].China Computer & Communication,2018,8(11):60-61,64.
[19] 蔡冰清,徐思雅,亓峰,等.基于SA-BP神经网络算法的光接入网络通道质量评估方法[J].电信科学,2018,34(4):162-172. Cai Bingqing,XU Siya,QI Feng,et al.A SA-BP neural network algorithm based channel quality evaluation method in optical access network[J].Telecommunications Science,2018,34(4):162-172.(in Chinese)
[20] 张会清,石晓伟,邓贵华,等.基于BP神经网络和泰勒级数的室内定位算法研究[J].电子学报,2012,40(9):1876-1879. Zhang Huiqing,Shi Xiaowei,Deng Guihua,et al.Research on indoor location technology based on back propagation neural network and Taylor series[J].Acta Electronica Sinica,2012,40(9):1876-1879.(in Chinese)
[21] 张亚军,刘宗田,周文.基于深度信念网络的事件识别[J].电子学报,2017,45(6):1415-1423. Zhang Yajun,Liu Zongtian,Zhou Wen.Event recognition based on deep belief network[J].Acta Electronica Sinica,2017,45(6):1415-1423.(in Chinese)
[22] HARDY,Nicholas F,et al.A model of temporal scaling correctly predicts that motor timing improves with speed[J].Nature Communications,2018,9(1):4732.
[23] KONG,Yunchuan;YU,Tianwei.A deep neural network model using random forest to extract feature representation for gene expression data classification[J].Scientific Reports,2018,8(1):16477.
[24] Cao J,Chen L,Wang M,et al.A parallel adaboost-backpropagation neural network for massive image dataset cassification[J].Scientific Reports,2016,6(1):38201.
[25] 张峰,钟宝江.基于兴趣目标的图像检索[J].电子学报,2018,46(8):1915-1923. Zhang Feng,Zhong Baojiang.Image retrieval based on interested objects[J].Acta Electronica Sinica,2018,46(8):1915-1923.(in Chinese)
[26] 赵耀霞,吴桐,韩焱.基于卷积神经网络的复杂构件内部零件装配正确性识别[J].电子学报,2018,46(8):1983-1988. Zhao Yaoxia,Wu Tong,Han Yan.Identifying the correctness of fit of internal components based on convolutional neural network[J].Acta Electronica Sinica,2018,46(8):1983-1988.(in Chinese)
[27] Riley W J.Handbook of frequency stability analysis[J].NIST Special Publication 1065,2007,(1065):1-123.
[28] Rutman J,Walls F L.Characterization of frequency stability in precision frequency sources[J].Proceedings of the IEEE,1991,79(7):952-960.
[29] Kroupa V.Noise properties of PLL systems[J].IEEE Transactions on Communications,1982,30(10):2244-2252. |