机械与能源工程 |
|
|
|
|
基于推理-情境感知激活模型的设计知识推荐 |
叶晨1( ),战洪飞1,*( ),林颖俊2,余军合1,王瑞1,钟武昌1 |
1. 宁波大学 机械工程与力学学院,浙江 宁波 315211 2. 中银(宁波)电池有限公司,浙江 宁波 315040 |
|
Design knowledge recommendation based on inference-context-aware activation model |
Chen YE1( ),Hong-fei ZHAN1,*( ),Ying-jun LIN2,Jun-he YU1,Rui WANG1,Wu-chang ZHONG1 |
1. Faculty of Mechanical Engineering and Mechanics, Ningbo University, Ningbo 315211, China 2. Zhongyin (Ningbo) Battery Limited Company, Ningbo 315040, China |
引用本文:
叶晨,战洪飞,林颖俊,余军合,王瑞,钟武昌. 基于推理-情境感知激活模型的设计知识推荐[J]. 浙江大学学报(工学版), 2023, 57(1): 32-46.
Chen YE,Hong-fei ZHAN,Ying-jun LIN,Jun-he YU,Rui WANG,Wu-chang ZHONG. Design knowledge recommendation based on inference-context-aware activation model. Journal of ZheJiang University (Engineering Science), 2023, 57(1): 32-46.
链接本文:
https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2023.01.004
或
https://www.zjujournals.com/eng/CN/Y2023/V57/I1/32
|
1 |
QIAO B, ZOU Z, HUANG Y, et al A joint model for entity and relation extraction based on BERT[J]. Neural Computing and Applications, 2022, 34 (1-3): 3471- 3481
|
2 |
余丽, 钱力, 付常雷, 等 基于深度学习的文本中细粒度知识元抽取方法研究[J]. 数据分析与知识发现, 2019, 3 (1): 38- 45 YU Li, QIAN Li, FU Chang-lei, et al Extracting fine-grained knowledge units from texts with deep learning[J]. Data Analysis and Knowledge Discovery, 2019, 3 (1): 38- 45
|
3 |
LIU J, XIA C, YAN H, et al Innovative deep neural network modeling for fine-grained Chinese entity recognition[J]. Electronics, 2020, 9 (6): 1001- 1015
doi: 10.3390/electronics9061001
|
4 |
QIN Y, SHEN G W, ZHAO W B, et al A network security entity recognition method based on feature template and CNN-BiLSTM-CRF[J]. Frontiers of Information Technology and Electronic Engineering, 2019, 20 (6): 872- 884
doi: 10.1631/FITEE.1800520
|
5 |
王志梅, 杨帆 基于相似学习者发现的资源推荐系统[J]. 浙江大学学报: 工学版, 2006, (10): 1688- 1691 WANG Zhi-mei, YANG Fan Resource recommendation system based on similar learners exploitation[J]. Journal of Zhejiang University: Engineering Science, 2006, (10): 1688- 1691
|
6 |
密阮建驰, 战洪飞, 余军合 面向企业知识推荐的知识情景建模方法研究[J]. 情报理论与实践, 2016, 39 (4): 78- 83 MI RUAN Jian-chi, ZHAN Hong-fei, YU Jun-he Research on knowledge scenario modeling method for enterprise knowledge recommendation[J]. Information Studies: Theory and Application, 2016, 39 (4): 78- 83
doi: 10.16353/j.cnki.1000-7490.2016.04.014
|
7 |
WANG H, FU W Personalized learning resource recommendation method based on dynamic collaborative filtering[J]. Mobile Networks and Applications, 2021, 26 (2): 473- 487
|
8 |
LI M, YUAN M Y, XU Y C An approach to task-oriented knowledge recommendation based on multi-granularity fuzzy linguistic method[J]. Kybernetes, 2015, 44 (3): 460- 474
doi: 10.1108/K-10-2014-0207
|
9 |
WEI Y L Development of an integrated-collaborative decision making framework for product top-down design process[J]. Robotics and Computer-Integrated Manufacturing, 2009, 25 (3): 497- 512
doi: 10.1016/j.rcim.2008.01.005
|
10 |
贺雪梅, 邵骁裕, 王海锋 基于场景思维的家具产品设计策略研究[J]. 林产工业, 2020, 57 (12): 65- 69 HE Xue-mei, SHAO Xiao-yu, WANG Hai-feng Research about furniture product design strategies based on scene thinking[J]. China Forest Products Industry, 2020, 57 (12): 65- 69
doi: 10.19531/j.issn1001-5299.202012013
|
11 |
YANG J, ZHANG Y, LI L, et al. YEDDA: a lightweight collaborative text span annotation tool [C]// Proceedings of ACL 2018, System Demonstrations. Melbourne: ACL, 2018.
|
12 |
LAN Z, CHEN M, GOODMAN S, et al. Albert: a lite bert for self-supervised learning of language representations [C]// Proceedings of ICLR 2020, Computer Science. Los Alamos: ICLR, 2019.
|
13 |
YANG L, FU Y F, DAI Y BIBC: a Chinese named entity recognition model for diabetes research[J]. Applied Sciences, 2021, 20 (11): 1- 14
|
14 |
代风, 翟翔, 施国强, 等 面向航天产品研制的知识网络本体建模方法[J]. 浙江大学学报: 工学版, 2018, 52 (10): 2023- 2034 DAI Feng, ZHAI Xiang, SHI Guo-qiang, et al Modeling ontological knowledge network for aerospace equipment development[J]. Journal of Zhejiang University: Engineering Science, 2018, 52 (10): 2023- 2034
|
15 |
李泚泚, 田国会, 张梦洋, 等 基于本体的物品属性类人认知及推理[J]. 浙江大学学报: 工学版, 2018, 52 (7): 1231- 1238 LI Ci-ci, TIAN Guo-hui, ZHANG Meng-yang, et al Ontology-based humanoid cognition and reasoning of object attributes[J]. Journal of Zhejiang University: Engineering Science, 2018, 52 (7): 1231- 1238
|
16 |
梁野, 张树有, 刘晓健, 等 基于变权分层激活模型的产品设计知识动态推送技术[J]. 计算机集成制造系统, 2015, 21 (12): 3107- 3118 LIANG Ye, ZHANG Shu-you, LIU Xiao-jian, et al Product design knowledge dynamic push technology based on variable-weight layered spreading activation model[J]. Computer Integrated Manufacturing Systems, 2015, 21 (12): 3107- 3118
|
17 |
KIM J, YUN U, PYUN G, et al A blog ranking algorithm using analysis of both blog influence and characteristics of blog posts[J]. Cluster Computing-The Journal of Networks Software Tools and Applications, 2015, 18 (3): 157- 164
|
18 |
CHHIM P, CHINNAM R B, SADAWI N Product design and manufacturing process based ontology for manufacturing knowledge reuse[J]. Journal of Intelligent Manufacturing, 2019, 30 (2): 905- 916
doi: 10.1007/s10845-016-1290-2
|
19 |
YE J Cosine similarity measures for intuitionistic fuzzy sets and their applications[J]. Mathematical and Computer Modelling, 2011, 53 (1/2): 91- 97
|
20 |
PETROV S, DAS D, MCDONALD R A universal part-of-speech tagset[J]. Computer Science, 2011, 1 (3): 2089- 2096
|
21 |
MANNING C D, RAGHAVAN P. Introduction to information retrieval [M]. Cambridge: Cambridge University Press, 2010: 79-113.
|
22 |
王临科, 蒋祖华, 李心雨 基于情境感知生成对抗网络模型的工程知识推荐方法[J]. 计算机集成制造系统, 2022, 28 (3): 798- 811 WANG Lin-ke, JIANG Zu-hua, LI Xin-yu Context-aware GAN-based knowledge recommendation method in engineering field[J]. Computer Integrated Manufacturing Systems, 2022, 28 (3): 798- 811
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|