Design of a Neuro-Fuzzy System Using Union-Based Rule Antecedent 


Vol. 13,  No. 2, pp. 13-17, Feb.  2024
https://doi.org/10.3745/TKIPS.2024.13.2.13


PDF
  Abstract

In this paper, union-based rule antecedent neuro-fuzzy controller, which can guarantee a parsimonious knowledge base with reduced number of rules, is proposed. The proposed neuro-fuzzy controller allows union operation of input fuzzy sets in the antecedents to cover bigger input domain compared with the complete structure rule which consists of AND combination of all input variables in its premise. To construct the proposed neuro-fuzzy controller, we consider the multiple-term unified logic processor (MULP) which consists of OR and AND fuzzy neurons. The fuzzy neurons exhibit learning abilities as they come with a collection of adjustable connection weights. In the development stage, the genetic algorithm (GA) constructs a Boolean skeleton of the proposed neuro-fuzzy controller, while the stochastic reinforcement learning refines the binary connections of the GA-optimized controller for further improvement of the performance index. An inverted pendulum system is considered to verify the effectiveness of the proposed method by simulation and experiment.

  Statistics
  Cite this article

[IEEE Style]

C. Han and D. Lee, "Design of a Neuro-Fuzzy System Using Union-Based Rule Antecedent," The Transactions of the Korea Information Processing Society, vol. 13, no. 2, pp. 13-17, 2024. DOI: https://doi.org/10.3745/TKIPS.2024.13.2.13.

[ACM Style]

Chang-Wook Han and Don-Kyu Lee. 2024. Design of a Neuro-Fuzzy System Using Union-Based Rule Antecedent. The Transactions of the Korea Information Processing Society, 13, 2, (2024), 13-17. DOI: https://doi.org/10.3745/TKIPS.2024.13.2.13.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals