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

页码：467 / 473

页数：7

共 50 条

[31] Multi-objective topology control in wireless networks
Banner, Ron
Orda, Ariel
27TH IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (INFOCOM), VOLS 1-5, 2008, : 1121 - 1129
[32] Convolutional neural networks optimization using multi-objective particle swarm optimization algorithm
Rashno, Armin
Fadaei, Sadegh
INFORMATION SCIENCES, 2025, 689
[33] On-line neural training algorithm with sliding mode control and adaptive learning rate
Nied, A.
Seleme, S. I., Jr.
Parma, G. G.
Menezes, B. R.
NEUROCOMPUTING, 2007, 70 (16-18) : 2687 - 2691
[34] Evolutionary multi-objective optimization of spiking neural networks
Jin, Yaochu
Wen, Ruojing
Sendhoff, Bernhard
ARTIFICIAL NEURAL NETWORKS - ICANN 2007, PT 1, PROCEEDINGS, 2007, 4668 : 370 - +
[35] Evolving Artificial Neural Networks for Multi-objective Tasks
Kuenzel, Steven
Meyer-Nieberg, Silja
APPLICATIONS OF EVOLUTIONARY COMPUTATION, EVOAPPLICATIONS 2018, 2018, 10784 : 671 - 686
[36] Multi-objective control for stochastic model reference systems based on LMI approach and sliding mode control concept
Chang, Koan-Yuh
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2013, 44 (04) : 739 - 749
[37] Control of generalization with a bi-objective sliding mode control algorithm
Costa, MA
Braga, AP
de Menezes, BR
Parma, GG
Teixeria, RD
VII BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS, PROCEEDINGS, 2002, : 38 - 43
[38] A Multi-Objective Genetic Algorithm for Community Detection in Networks
Pizzuti, Clara
ICTAI: 2009 21ST INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, 2009, : 379 - 386
[39] Optimization control of wastewater treatment based on neural network and multi-objective optimization algorithm
Zhang, Xijun
Yong, Si
DESALINATION AND WATER TREATMENT, 2024, 320
[40] Multi-objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
Booysen, Reinhard
Bosman, Anna Sergeevna
NEURAL PROCESSING LETTERS, 2024, 56 (04)

← 1 2 3 4 5 →