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
  • [1] Convergence analysis of sliding mode trajectories in multi-objective neural networks learning
    Costa, Marcelo Azevedo
    Braga, Antonio Padua
    de Menezes, Benjamin Rodrigues
    NEURAL NETWORKS, 2012, 33 : 21 - 31
  • [2] Optimal Robust Decoupled Sliding Mode Control Based on a Multi-objective Genetic Algorithm
    Sahnehsaraei, Morteza Andalib
    Mahmoodabadi, Mohammad Javad
    Taherkhorsandi, Milad
    2013 IEEE INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (IEEE INISTA), 2013,
  • [3] MULTI-OBJECTIVE OPTIMAL DESIGN AND VALIDATION OF SLIDING MODE CONTROL
    Qin, Zhi-Chang
    Xiong, Fu-Rui
    Ding, Qian
    Hernandez, Carlos
    Fernandez, Jesus
    Schutze, Oliver
    Sun, Jian-Qiao
    INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2015, VOL 8, 2016,
  • [4] Optimization of neural networks with multi-objective LASSO algorithm
    Costa, Marcelo Azevedo
    Braga, Antonio Padua
    2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, 2006, : 3312 - +
  • [5] Sliding mode algorithm for training multilayer artificial neural networks
    Parma, GG
    Menezes, BR
    Braga, AP
    ELECTRONICS LETTERS, 1998, 34 (01) : 97 - 98
  • [6] A multi-objective optimization approach for training artificial neural networks
    Teixeira, RD
    Braga, AD
    Takahashi, RHC
    Saldanha, RR
    SIXTH BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS, VOL 1, PROCEEDINGS, 2000, : 168 - 172
  • [7] Multi-objective Power Control Algorithm for Femtocell Networks
    Kim, Sungwook
    WIRELESS PERSONAL COMMUNICATIONS, 2014, 75 (04) : 2281 - 2288
  • [8] Multi-objective Power Control Algorithm for Femtocell Networks
    Sungwook Kim
    Wireless Personal Communications, 2014, 75 : 2281 - 2288
  • [9] An Experimental Study of Robustness of Multi-Objective Optimal Sliding Mode Control
    Qin, Zhi-Chang
    Xiong, Fu-Rui
    Sun, Jian-Qiao
    JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME, 2016, 138 (05):
  • [10] Multi-Objective Asymmetric Sliding Mode Control of Connected Autonomous Vehicles
    Yan, Yan
    Du, Haiping
    Wang, Yafei
    Li, Weihua
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (09) : 16342 - 16357
12345