The design of beta basis function neural network using hierarchical genetic algorithm

被引：0
|
作者：
Aouiti, C [1 ]
Alimi, AM [1 ]
Maalej, A [1 ]
机构：
[1] Univ November 7, Fac Sci, Bizerte, Tunisia
来源：
ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS, PROCEEDINGS | 2003年
关键词：
genetic algorithms; beta function; neural networks; functions approximation; learning; beta bases function neural networks;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose an evolutionary method for the design of Beta basis function neural networks (BBFNN). Classical training algorithms start with a predetermined network structure for neural networks. Generally speaking the neural network is either insufficient or over-complicated. This paper describes a hierarchical genetic learning model of the BBFNN. In order to examine the performance of the proposed algorithm, it is used for functional approximation problem. The results obtained have been encouraging.
引用
收藏
页码：216 / 222
页数：7
相关论文
共 50 条
  • [1] A hierarchical genetic algorithm for the design of beta basis function neural network
    Aouiti, C
    Alimi, AM
    Karray, F
    Maalej, A
    [J]. PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3, 2002, : 1246 - 1251
  • [2] The design of beta basis function neural network and beta fuzzy systems by a hierarchical genetic algorithm
    Aouiti, C
    Alimi, AM
    Karray, F
    Maalej, A
    [J]. FUZZY SETS AND SYSTEMS, 2005, 154 (02) : 251 - 274
  • [3] Hierarchical Rank Density Genetic Algorithm for radial-basis function neural network design
    Yen, GG
    Lu, HM
    [J]. CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2002, : 25 - 30
  • [4] Hierarchical Particle Swarm Optimization for the Design of Beta Basis Function Neural Network
    Dhahri, Habib
    Alimi, Adel M.
    Abraham, Ajith
    [J]. INTELLIGENT INFORMATICS, 2013, 182 : 193 - +
  • [5] Hierarchical genetic algorithm based neural network design
    Yen, GG
    Lu, HM
    [J]. 2000 IEEE SYMPOSIUM ON COMBINATIONS OF EVOLUTIONARY COMPUTATION AND NEURAL NETWORKS, 2000, : 168 - 175
  • [6] Hierarchical multi-dimensional differential evolution for the design of beta basis function neural network
    Dhahri, Habib
    Alimi, Adel M.
    Abraham, Ajith
    [J]. NEUROCOMPUTING, 2012, 97 : 131 - 140
  • [7] Mixed Radial Basis Function Neural Network Training Using Genetic Algorithm
    Taoufyq Elansari
    Mohammed Ouanan
    Hamid Bourray
    [J]. Neural Processing Letters, 2023, 55 : 10569 - 10587
  • [8] Mixed Radial Basis Function Neural Network Training Using Genetic Algorithm
    Elansari, Taoufyq
    Ouanan, Mohammed
    Bourray, Hamid
    [J]. NEURAL PROCESSING LETTERS, 2023, 55 (08) : 10569 - 10587
  • [9] Filter design using radial basis function neural network and genetic algorithm for improved operational health monitoring
    Roy, N
    Ganguli, R
    [J]. APPLIED SOFT COMPUTING, 2006, 6 (02) : 154 - 169
  • [10] Neural network optimisation using genetic algorithm: A hierarchical fuzzy method
    Sharma, SK
    Tokhi, MO
    [J]. ALGORITHMS AND ARCHITECTURES FOR REAL-TIME CONTROL 2000, 2000, : 75 - 80
12345