Training neural networks with a multi-objective sliding mode control algorithm

被引：22
|
作者：
Costa, MA [1 ]
Braga, AP [1 ]
Menezes, BR [1 ]
Teixeira, RA [1 ]
Parma, GG [1 ]
机构：
[1] Univ Fed Minas Gerais, Dept Elect Engn, BR-30161970 Belo Horizonte, MG, Brazil
来源：
NEUROCOMPUTING | 2003年 / 51卷
关键词：
neural networks; multi-objective optimization; generalization;
D O I：
10.1016/S0925-2312(02)00697-5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new sliding mode control algorithm that is able to guide the trajectory of a multi-layer perceptron within the plane formed by the two objective functions: training set error and norm of the weight vectors. The results show that the neural networks obtained are able to generate an approximation to the Pareto set, from which an improved generalization performance model is selected. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：467 / 473
页数：7
相关论文
共 50 条
  • [21] Optimal novel super-twisting PID sliding mode control of a MEMS gyroscope based on multi-objective bat algorithm
    Rahmani, Mehran
    Komijani, Hossein
    Ghanbari, Ahmad
    Ettefagh, Mir Mohammad
    MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2018, 24 (06): : 2835 - 2846
  • [22] Optimal novel super-twisting PID sliding mode control of a MEMS gyroscope based on multi-objective bat algorithm
    Mehran Rahmani
    Hossein Komijani
    Ahmad Ghanbari
    Mir Mohammad Ettefagh
    Microsystem Technologies, 2018, 24 : 2835 - 2846
  • [23] Multi-objective model for architecture optimization and training of radial basis function neural networks
    Elansari, Taoufyq
    Ouanan, Mohammed
    Bourray, Hamid
    JOURNAL OF MATHEMATICAL MODELING, 2024, 12 (04): : 603 - 622
  • [24] Multi-objective optimal design of sliding mode control with parallel simple cell mapping method
    Qin, Zhi-Chang
    Xiong, Fu-Rui
    Ding, Qian
    Hernandez, Carlos
    Fernandez, Jesus
    Schutze, Oliver
    Sun, Jian-Qiao
    JOURNAL OF VIBRATION AND CONTROL, 2017, 23 (01) : 46 - 54
  • [25] Fuzzy sliding mode variable structure control based on multi-objective optimization and its application
    School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410076, China
    不详
    不详
    不详
    Zhongnan Daxue Xuebao (Ziran Kexue Ban), 2006, 6 (1149-1154):
  • [26] Congestion control in wireless sensor networks by hybrid multi-objective optimization algorithm
    Singh, Karishma
    Singh, Karan
    Le Hoang Son
    Aziz, Ahmed
    COMPUTER NETWORKS, 2018, 138 : 90 - 107
  • [27] Diversity control in a multi-objective genetic algorithm
    Sangkawelert, N
    Chaiyaratana, N
    CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS, 2003, : 2704 - 2711
  • [28] Multi-objective distributed power control algorithm
    Elmusrati, M
    Koivo, H
    IEEE 56TH VEHICULAR TECHNOLOGY CONFERENCE, VTC FALL 2002, VOLS 1-4, PROCEEDINGS, 2002, : 812 - 816
  • [29] EVOLVING QUANTIZED NEURAL NETWORKS FOR IMAGE CLASSIFICATION USING A MULTI-OBJECTIVE GENETIC ALGORITHM
    Wang, Yong
    Wang, Xiaojing
    He, Xiaoyu
    2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 2790 - 2794
  • [30] Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks
    Behzadian, Kourosh
    Kapelan, Zoran
    Savic, Dragan
    Ardeshir, Abdollah
    ENVIRONMENTAL MODELLING & SOFTWARE, 2009, 24 (04) : 530 - 541
12345