Journal of Shandong University(Engineering Science) ›› 2023, Vol. 53 ›› Issue (2): 23-33.doi: 10.6040/j.issn.1672-3961.0.2022.255

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A technology prediction model based on fuzzy Bayesian networks with sociological factors

ZHANG Hao, LI Ziling, LIU Tong, ZHANG Dawei, TAO Jianhua*   

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2022-07-13 Online:2023-04-22 Published:2023-04-21

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  • TP391
[1] 刘鹏. 智能系统[M]. 北京:电子工业出版社,2020.
[2] MARTIN B. Technology foresight: a review of recent government exercises[J]. Science, Technology, Industry Review, 1996, 17:15-50.
[3] SHIN T. Using Delphi for a long-range technology forecasting, and assessing directions of future R&D activities the Korean exercise[J]. Technological Forecasting & Social Change, 1998, 58(1/2):125-154.
[4] SAVAGE T, DAVIS A, FISCHHOF B, et al. A strategy to improve expert technology forecasts[J]. Proceedings of the National Academy of Sciences, 2021, 118(21): e202- 1558118.
[5] KIM J, LEE S. Forecasting and identifying multi-technology convergence based on patent data[J]. Scientometrics, 2017, 111:47-65.
[6] EVANGELISTA A, ARDITO L, BOCCACCIO A, et al. Unveiling the technological trends of augmented reality: a patent analysis[J]. Computers in Industry, 2020, 118: 103221.
[7] DEHGANI M M, ASLANI A, AHMADI M H, et al. Current status and future forecasting of biofuels technology development[J]. International Journal of Energy Research, 2019, 43(3):1142-1160.
[8] 魏延,杨春颖,王永芳,等. 基于TRIZ理论和LSTM的技术成熟度评估及预测方法[J]. 导弹与航天运载技术,2022,3:153-158. WEI Yan, YANG Chunying, WANG Yongfang, et al. Technology maturity assessment and prediction method based on TRIZ theory and LSTM[J]. Missiles and Space Vehicles, 2022, 3:153-158.
[9] JANG H J, WOO H G, LEE C. Hawkes process-based technology impact analysis[J]. Journal of Informetrics, 2017, 11(2):511-529.
[10] GUI M, XU X. Technology forecasting using deep learning neural network: taking the case of robotics[J]. IEEE Access, 2021, 9:53306-53316.
[11] ZHOU Y, DONG F, LIU Y, et al. Forecasting emerging technologies using data augmentation and deep learning[J]. Scientometrics, 2020, 123:1-29.
[12] 陈伟,林超然,李金秋,等. 基于LDA-HMM的专利技术主题演化趋势分析:以船用柴油机技术为例[J]. 情报学报, 2018,37(7):732-741. CHEN Wei, LIN Chaoran, LI Jinqiu, et al. Analysis of the evolutionary trend of technical topics in patents based on LDA and HMM: taking marine diesel engine technology as an example[J]. Journal of the China Society for Scientific and Technical Information, 2018, 37(7):732-741.
[13] 董放,刘宇飞,周源. 基于LDA-SVM论文摘要多分类新兴技术预测[J]. 情报杂志,2017,36(7):40-45. DONG Fang, LIU Yufei, ZHOU Yuan. Prediction of emerging technologies based on LDA-SVM multi-class abstract of paper classification[J]. Journal of Intel-ligence, 2017, 36(7):40-45.
[14] CHOI S, JUN S. Vacant technology forecasting using new Bayesian patent clustering[J]. Technology Analysis and Strategic Management, 2014, 26(3):241-251.
[15] ZHOU Y, DONG F, KONG D, et al. Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies[J]. Techno-logical Forecasting and Social Change, 2019, 144(7):205-220.
[16] 李晶, 罗泰晔. 基于文本挖掘的5G技术研究热点分析[J].科技管理研究, 2020, 40(19):160-165. LI Jing, LUO Taiye. Hot research topics analysis of 5G technology based on text mining[J]. Science and Technology Management Research, 2020, 40(19):160-165.
[17] 工业和信息化部. 促进新一代人工智能产业发展三年行动计划[R]. 北京:工业和信息化部, 2017.
[18] 国务院. 新一代人工智能发展规划[R]. 北京:国务院, 2018.
[19] 刘刚. 中国新一代人工智能科技产业发展报告2020[R]. 天津:中国新一代人工智能发展战略研究院, 2020.
[20] 李颋, 田丰. 新一代人工智能白皮书(2020年):产业智能化升级[R]. 重庆:中国电子学会, 中国数字经济百人会, 商汤智能产业研究院, 2020.
[21] SILBERGLITT R. The global technology revolution 2020[R]. California, USA: Rand Corporation, 2006.
[22] 沈林成. 移动机器人自主控制理论与技术[M]. 北京:科学出版社, 2011.
[23] HUANG H, PAVEK K, ALBUS J, et al. Autonomy levels for unmanned systems( ALFUS )framework: an update[C] // Proceedings of SPIE 5804: Unmanned Ground Vehicle Technology Ⅶ. Orlando, USA: SPIE Press, 2005: 439-448.
[24] 李欣. 军用无人机行业深度报告[R]. 南昌:中航证券,2017.
[25] United States Department of Defense. Unmanned systems integrated roadmap 2017-2042[R]. Arlington, USA: United States Department of Defense, 2018.
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YANG Guohui1, SUN Xiaoyu1,2*, TSUBAKI Noritatsu1

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