InterGCNet: An Interpolation Geometric Constructive Neural Network for Industrial Data Modeling

被引：0
|
作者：
Nan, Jing [1 ,2 ]
Qin, Yan [3 ]
Arunan, Anushiya [2 ]
Dai, Wei [1 ]
Yuen, Chau [4 ]
机构：
[1] the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou,221116, China
[2] the Engineering Product Development Pillar, Singapore University of Technology and Design, Singapore,487372, Singapore
[3] the School of Automation, Chongqing University, Chongqing,400044, China
[4] the School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore,639798, Singapore
来源：
IEEE Transactions on Instrumentation and Measurement | 2024年 / 73卷
关键词：
D O I：
10.1109/TIM.2024.3470037
中图分类号：
学科分类号：
摘要：
31
引用
收藏
相关论文
共 50 条
  • [1] Geometric constructive network with block increments for lightweight data-driven industrial process modeling
    Nan, Jing
    Dai, Wei
    Zhang, Haijun
    JOURNAL OF PROCESS CONTROL, 2024, 134
  • [2] ConGCNet: Convex geometric constructive neural network for Industrial Internet of Things
    Jing Nan
    Wei Dai
    Chau Yuen
    Jinliang Ding
    Journal of Automation and Intelligence, 2024, 3 (03) : 169 - 175
  • [3] Neural network operators: Constructive interpolation of multivariate functions
    Costarelli, Danilo
    NEURAL NETWORKS, 2015, 67 : 28 - 36
  • [4] Deep Geometric Neural Network for Spatial Interpolation
    Zhang, Minxing
    Yu, Dazhou
    Li, Yun
    Zhao, Liang
    30TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS, ACM SIGSPATIAL GIS 2022, 2022, : 516 - 519
  • [5] Constructive approximate interpolation by neural networks
    Llanas, B
    Sainz, FJ
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2006, 188 (02) : 283 - 308
  • [6] Modeling and Predicting an Industrial Process Using a Neural Network and Automation Data
    Nykyri, Mikko
    Kuisma, Mikko
    Hallikas, Jukka
    Immonen, Mika
    Silventoinen, Pertti
    2020 IEEE 29TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2020, : 505 - 509
  • [7] A constructive neural-network approach to modeling psychological development
    Shultz, Thomas R.
    COGNITIVE DEVELOPMENT, 2012, 27 (04) : 383 - 400
  • [8] Interpolation and extrapolation ability of fuzzy neural network load modeling
    College of Electrical and Information, Hunan University, Changsha 410082, China
    Gaodianya Jishu, 2008, 6 (1155-1160):
  • [9] Constructive Neural Network Learning
    Lin, Shaobo
    Zeng, Jinshan
    Zhang, Xiaoqin
    IEEE TRANSACTIONS ON CYBERNETICS, 2019, 49 (01) : 221 - 232
  • [10] Constructive gradient neural network
    Ondrácek, T
    NEURAL NETWORK WORLD, 2005, 15 (06) : 553 - 566
12345