Computer Science ›› 2020, Vol. 47 ›› Issue (2): 233-238.doi: 10.11896/jsjkx.190100070
• Computer Network • Previous Articles Next Articles
LI Li,ZHENG Jia-li,WANG Zhe,YUAN Yuan,SHI Jing
CLC Number:
[1]SHI J Y,QIN X L,WANG L.Gradient and Constant-game Based RFID Indoor Localization Algorithm[J].ComputerScience,2015,42(11):138-143. [2]ZHENG J,YANG Y,HE X,et al.Multiple-port reader antenna with three modes for UHF RFID applications[J].Electronics Letters,2018,54(5):264-266. [3]LIU K,ZHANG W,ZHANG W D,et al.A Wireless Positioning Method Based on Deep Neural Network[J].Computer Engineering,2016,42(7):82-85. [4]YANG Y N,XIA B,YUAN W,et al.Research on Ranging Algorithm Based on Convolution Neural Network[J].Journal of Chongqing University of Technology(Natural Science),2018(3):172-177. [5]WANG C,WU F,SHI Z,et al.Indoor positioning technique by combining RFID and particle swarm optimization-based back propagation neural network[J].Optik - International Journal for Light and Electron Optics,2016,127(17):6839-6849. [6]WANG C,SHI Z,WU F,et al.An RFID indoor positioning system by using Particle Swarm Optimization-based Artificial Neural Network[C]∥2016 International Conference on Audio.Language and Image Processing(ICALIP).IEEE Computer Society,2017:738-742. [7]KUNG H Y,CHAISIT S,PHUONG N T M.Optimization of an RFID location identification scheme based on the neural network[J].International Journal of Communication Systems,2015,28(4):625-644. [8]JIANG X,LIU J,CHEN Y,et al.Feature Adaptive Online Sequential Extreme Learning Machine for lifelong indoor localization[J].Neural Computing & Applications,2016,27(1):215-225. [9]LIU F,ZHONG D.GSOS-ELM:An RFID-Based Indoor Localization System Using GSO Method and Semi-Supervised Online Sequential ELM[J].Sensors,2018,18(7):1995. [10]GAO Z,MA Y,LIU K,et al.An Indoor Multi-tag Cooperative Localization Algorithm Based on NMDS for RFID[J].IEEE Sensors Journal,2017,17(7):2120-2128. [11] ZHAO Y,LIU K,MA Y,et al.Similarity Analysis-Based Indoor Localization Algorithm With Backscatter Information of Passive UHF RFID Tags[J].IEEE Sensors Journal,2016,17(99):1-1. [12]SUTTON R,BARTO A.Reinforcement Learning:An Introduction(second edition)[M].The MIT Press,2018. [13]MURRAY D G,MURRAY D G.A computational model for TensorFlow:an introduction[C]∥Proceesings of the 1st ACM SIGPLAN International Workshop on Machine Learning and Programming Language.New York:ACM,2017:1-7. [14]ABADI M.TensorFlow:learning functions at scale[J].Acm Sigplan Notices,2016,51(9):1-1. [15]SCHMIDHUBER J.Deep learning in neural networks:An overview[J].Neural Network,2015,61(5):85-117. [16]SIMONYAN K,ZISSERMAN A.Very Deep Convolutional Networks for Large-Scale Image Recognition[J].arXiv:1409.1556,2014. [17]SONG R,LEWIS F,WEI Q,et al.Multiple actor-critic struc-tures for continuous-time optimal control using input-output data[J].IEEE Transactions on Neural Networks and Learning Systems,2015,26(4):851-865. [18]MNIH V,BADIA A P,MIRZA M,et al.Asynchronous Methods for Deep Reinforcement Learning[J].arXiv:1602.01783v2,2016. [19]BURTON A,PARIKH T,MASCARENHAS S,et al.Driver identification and authentication with active behavior modeling[C]∥12th International Conference on Network and Service Management(CNSM).IEEE Computer Society,2017:388-393. [20]ALARIFI A,ALSALMAN A M,ALSALEH M,et al.Ultra Wideband Indoor Positioning Technologies:Analysis and Recent Advances[J].IEEE Sensors,2016,16(5):1-36. [21]ZHAI X,ALI A A S,AMIRA A,et al.MLP Neural Network Based Gas Classification System on Zynq SoC[J].IEEE Access,2017,4(99):8138-8146. |
[1] | LIU Xing-guang, ZHOU Li, LIU Yan, ZHANG Xiao-ying, TAN Xiang, WEI Ji-bo. Construction and Distribution Method of REM Based on Edge Intelligence [J]. Computer Science, 2022, 49(9): 236-241. |
[2] | TANG Qing-hua, WANG Mei, TANG Chao-chen, LIU Xin, LIANG Wen. PDR Indoor Positioning Method Based on M2M Encounter Region [J]. Computer Science, 2022, 49(9): 283-287. |
[3] | YUAN Wei-lin, LUO Jun-ren, LU Li-na, CHEN Jia-xing, ZHANG Wan-peng, CHEN Jing. Methods in Adversarial Intelligent Game:A Holistic Comparative Analysis from Perspective of Game Theory and Reinforcement Learning [J]. Computer Science, 2022, 49(8): 191-204. |
[4] | SHI Dian-xi, ZHAO Chen-ran, ZHANG Yao-wen, YANG Shao-wu, ZHANG Yong-jun. Adaptive Reward Method for End-to-End Cooperation Based on Multi-agent Reinforcement Learning [J]. Computer Science, 2022, 49(8): 247-256. |
[5] | YU Bin, LI Xue-hua, PAN Chun-yu, LI Na. Edge-Cloud Collaborative Resource Allocation Algorithm Based on Deep Reinforcement Learning [J]. Computer Science, 2022, 49(7): 248-253. |
[6] | LI Meng-fei, MAO Ying-chi, TU Zi-jian, WANG Xuan, XU Shu-fang. Server-reliability Task Offloading Strategy Based on Deep Deterministic Policy Gradient [J]. Computer Science, 2022, 49(7): 271-279. |
[7] | ZHOU Chu-lin, CHEN Jing-dong, HUANG Fan. WiFi-PDR Fusion Indoor Positioning Technology Based on Unscented Particle Filter [J]. Computer Science, 2022, 49(6A): 606-611. |
[8] | GUO Yu-xin, CHEN Xiu-hong. Automatic Summarization Model Combining BERT Word Embedding Representation and Topic Information Enhancement [J]. Computer Science, 2022, 49(6): 313-318. |
[9] | FAN Jing-yu, LIU Quan. Off-policy Maximum Entropy Deep Reinforcement Learning Algorithm Based on RandomlyWeighted Triple Q -Learning [J]. Computer Science, 2022, 49(6): 335-341. |
[10] | XIE Wan-cheng, LI Bin, DAI Yue-yue. PPO Based Task Offloading Scheme in Aerial Reconfigurable Intelligent Surface-assisted Edge Computing [J]. Computer Science, 2022, 49(6): 3-11. |
[11] | HONG Zhi-li, LAI Jun, CAO Lei, CHEN Xi-liang, XU Zhi-xiong. Study on Intelligent Recommendation Method of Dueling Network Reinforcement Learning Based on Regret Exploration [J]. Computer Science, 2022, 49(6): 149-157. |
[12] | ZHANG Jia-neng, LI Hui, WU Hao-lin, WANG Zhuang. Exploration and Exploitation Balanced Experience Replay [J]. Computer Science, 2022, 49(5): 179-185. |
[13] | LI Peng, YI Xiu-wen, QI De-kang, DUAN Zhe-wen, LI Tian-rui. Heating Strategy Optimization Method Based on Deep Learning [J]. Computer Science, 2022, 49(4): 263-268. |
[14] | OUYANG Zhuo, ZHOU Si-yuan, LYU Yong, TAN Guo-ping, ZHANG Yue, XIANG Liang-liang. DRL-based Vehicle Control Strategy for Signal-free Intersections [J]. Computer Science, 2022, 49(3): 46-51. |
[15] | ZHOU Qin, LUO Fei, DING Wei-chao, GU Chun-hua, ZHENG Shuai. Double Speedy Q-Learning Based on Successive Over Relaxation [J]. Computer Science, 2022, 49(3): 239-245. |
|