A rule-based filter network for multiclass data classification

Balazs Tusor, A. Várkonyi-Kóczy

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

2 Citations (Scopus)

Abstract

Nowadays, data classification is still one of the most popular fields of machine learning problems. This paper presents a new, adaptive, and easily applicable method for the solution of such problems. The method uses rules derived from the training data. The rules are processed by a rule-based inference network that is based on the classic Radial Base Function networks, with modifications in the output layer that change the functionality of the network. The training of the system, the appointing of rules is done by the clustering of the training data, for which two new clustering methods are presented and experimental results are shown in order to illustrate the efficiency of the system.

Original languageEnglish
Title of host publicationConference Record - IEEE Instrumentation and Measurement Technology Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1102-1107
Number of pages6
Volume2015-July
ISBN (Print)9781479961139
DOIs
Publication statusPublished - Jul 6 2015
Event2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015 - Pisa, Italy
Duration: May 11 2015May 14 2015

Other

Other2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015
CountryItaly
CityPisa
Period5/11/155/14/15

Fingerprint

Radial basis function networks
Learning systems

Keywords

  • Classification
  • Clustering
  • Fuzzy control system
  • Fuzzy inference systems
  • Radial base function networks
  • Reinforced learning
  • Supervised learning

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Tusor, B., & Várkonyi-Kóczy, A. (2015). A rule-based filter network for multiclass data classification. In Conference Record - IEEE Instrumentation and Measurement Technology Conference (Vol. 2015-July, pp. 1102-1107). [7151425] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/I2MTC.2015.7151425

A rule-based filter network for multiclass data classification. / Tusor, Balazs; Várkonyi-Kóczy, A.

Conference Record - IEEE Instrumentation and Measurement Technology Conference. Vol. 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. p. 1102-1107 7151425.

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

Tusor, B & Várkonyi-Kóczy, A 2015, A rule-based filter network for multiclass data classification. in Conference Record - IEEE Instrumentation and Measurement Technology Conference. vol. 2015-July, 7151425, Institute of Electrical and Electronics Engineers Inc., pp. 1102-1107, 2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015, Pisa, Italy, 5/11/15. https://doi.org/10.1109/I2MTC.2015.7151425
Tusor B, Várkonyi-Kóczy A. A rule-based filter network for multiclass data classification. In Conference Record - IEEE Instrumentation and Measurement Technology Conference. Vol. 2015-July. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1102-1107. 7151425 https://doi.org/10.1109/I2MTC.2015.7151425
Tusor, Balazs ; Várkonyi-Kóczy, A. / A rule-based filter network for multiclass data classification. Conference Record - IEEE Instrumentation and Measurement Technology Conference. Vol. 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1102-1107
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