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.
|Journal series||Bulletin of the Polish Academy of Sciences, Technical Sciences, [Bulletin of the Polish Academy of Sciences: Technical Sciences], ISSN 0239-7528, e-ISSN 2300-1917|
|Publication size in sheets||0.5|
|ASJC Classification||; ; ; ;|
|Score|| = 25.0, 29-06-2020, ArticleFromJournal|
= 25.0, 29-06-2020, ArticleFromJournal
|Publication indicators||= 3; = 3; = 1.0; : 2013 = 1.411; : 2013 = 1.0 (2) - 2013=1.107 (5)|
|Citation count*||1 (2014-12-31)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.