An active-learning probabilistic neural network for feasibility classification of constrained engineering optimization problems

被引:0
|
作者
Fang, Dengjian [1 ]
Zhang, Taotao [1 ]
Wu, Fan [2 ]
机构
[1] College of Weapons Engineering, Naval University of Engineering, Wuhan,430033, China
[2] College of Naval Architecture and Ocean Engineering, Naval University of Engineering, Wuhan,430033, China
关键词
Active Learning - Classification models - Computational expensive constraint - Constrained engineering optimization problems - Constrained optimi-zation problems - Engineering design - Neural-networks - Probabilistic neural network - Probabilistics - Simulation-based engineerings;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:3237 / 3250
相关论文
共 50 条
  • [1] An active-learning probabilistic neural network for feasibility classification of constrained engineering optimization problems
    Fang, Dengjian
    Zhang, Taotao
    Wu, Fan
    [J]. ENGINEERING WITH COMPUTERS, 2022, 38 (SUPPL 4) : 3237 - 3250
  • [2] An active-learning probabilistic neural network for feasibility classification of constrained engineering optimization problems
    Dengjian Fang
    Taotao Zhang
    Fan Wu
    [J]. Engineering with Computers, 2022, 38 : 3237 - 3250
  • [3] Remote sensing image classification method based on Active-learning deep neural network
    Xiao, Wen
    Zou, Junqiu
    Xu, Kuan
    [J]. OPTOELECTRONIC IMAGING AND MULTIMEDIA TECHNOLOGY V, 2018, 10817
  • [4] A Neural Network for Constrained Fuzzy Convex Optimization Problems
    Liu, Na
    Zhang, Han
    Qin, Sitian
    [J]. 2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019), 2019, : 1007 - 1012
  • [5] A new neural network for nonlinear constrained optimization problems
    Meng, ZQ
    Dang, CY
    Zhou, GG
    Zhu, YH
    Jiang, M
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1, 2004, 3173 : 406 - 412
  • [6] Robust optimization design method for structural reliability based on active-learning MPA-BP neural network
    Dong, Zhao
    Sheng, Ziqiang
    Zhao, Yadong
    Zhi, Pengpeng
    [J]. INTERNATIONAL JOURNAL OF STRUCTURAL INTEGRITY, 2023, 14 (02) : 248 - 266
  • [7] Development of Active-Learning Units in Nuclear Engineering
    Egarievwe, Stephen U.
    [J]. ANIMMA 2021 - ADVANCEMENTS IN NUCLEAR INSTRUMENTATION MEASUREMENT METHODS AND THEIR APPLICATIONS, 2021, 253
  • [8] Probabilistic Neural Network in Solving Various Pattern Classification Problems
    Nimbhorkar, Nabha B.
    Alaspurkar, Satish J.
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2014, 14 (03): : 133 - 137
  • [9] β-Hill climbing algorithm with probabilistic neural network for classification problems
    Alweshah, Mohammed
    Al-Daradkeh, Aram
    Al-Betar, Mohammed Azmi
    Almomani, Ammar
    oqeili, Saleh
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2020, 11 (08) : 3405 - 3416
  • [10] Application of the probabilistic RBF neural network in multidimensional classification problems
    Plucinski, M
    [J]. ADVANCED COMPUTER SYSTEMS, PROCEEDINGS, 2002, 664 : 49 - 57