Modified neuro-fuzzy TSK network and its application in electronic nose

Stanisław Osowski , Kazimierz Brudzewski , L. Tran Hoai


The paper develops the modified structure of the Takagi-Sugeno-Kang neuro-fuzzy network with a theoretical basis for its adaptation. The simplified structure follows from the basic theoretical considerations concerning the way of creating the inference rules. The important point of this solution is the application of the fuzzy clustering algorithm to the input data. The efficiency of the proposed solution has been checked on the examples of regression and classification problems concerning the electronic nose.

Author Stanisław Osowski (FoEE / ITEEMIS)
Stanisław Osowski,,
- The Institute of the Theory of Electrical Engineering, Measurement and Information Systems
, Kazimierz Brudzewski (FC / CofIC)
Kazimierz Brudzewski,,
- Chair Of Inorganic Chemistry
, L. Tran Hoai - [Hanoi University of Science and Technology]
L. Tran Hoai,,
Journal seriesBulletin of the Polish Academy of Sciences, Technical Sciences, [Bulletin of the Polish Academy of Sciences: Technical Sciences], ISSN 0239-7528, e-ISSN 2300-1917
Issue year2013
Publication size in sheets0.5
ASJC Classification1702 Artificial Intelligence; 1705 Computer Networks and Communications; 1710 Information Systems; 2200 General Engineering; 3107 Atomic and Molecular Physics, and Optics
Languageen angielski
Score (nominal)25
Score sourcejournalList
ScoreMinisterial score = 25.0, 29-06-2020, ArticleFromJournal
Ministerial score (2013-2016) = 25.0, 29-06-2020, ArticleFromJournal
Publication indicators Scopus Citations = 3; WoS Citations = 3; GS Citations = 1.0; Scopus SNIP (Source Normalised Impact per Paper): 2013 = 1.411; WoS Impact Factor: 2013 = 1.0 (2) - 2013=1.107 (5)
Citation count*1 (2014-12-31)
Share Share

Get link to the record

* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Are you sure?