Fourier series neural networks for classification

Li Jeng Huang, Yung Ming Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents classification of linearly separable and non-separable problems using neural networks in which hidden neurons are constructed based on double Fourier series expansions (FSNN). The results of numerical examples including classification problems of logical AND, logical XOR, cows and wolves, as well as 3-category problem such as IRIS classification. All the FSNN results are compared with those obtained from backward propagation neural networks (BPANN) and radial basis function neural networks (RBFNN). Root mean squared errors (RMSE) of the algorithms during the training process are also compared. The classification results obtained from FSNN agree well with those obtained from BPANN and RBFNN. Only a few hidden neurons in FSNNs are required for very good and fast convergence of training as compared with BPANN and RBFNN.

Original languageEnglish
Title of host publicationProceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018
EditorsArtde Donald Kin-Tak Lam, Stephen D. Prior, Teen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages881-884
Number of pages4
ISBN (Electronic)9781538643426
DOIs
Publication statusPublished - 2018 Jun 22
Event4th IEEE International Conference on Applied System Innovation, ICASI 2018 - Chiba, Japan
Duration: 2018 Apr 132018 Apr 17

Publication series

NameProceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018

Other

Other4th IEEE International Conference on Applied System Innovation, ICASI 2018
CountryJapan
CityChiba
Period18-04-1318-04-17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Modelling and Simulation
  • Biomedical Engineering

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  • Cite this

    Huang, L. J., & Wang, Y. M. (2018). Fourier series neural networks for classification. In A. D. K-T. Lam, S. D. Prior, & T-H. Meen (Eds.), Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018 (pp. 881-884). (Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASI.2018.8394406