@misc{Petkov_Todor_Modern_2014,
 author={Petkov, Todor and Sotirov, Sotir},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Książka = Book},
 howpublished={online},
 year={2014},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={This paper describes the slow learning algorithm of unsupervised adaptive resonance theory ART2 neural network. At first, the algorithm is presented step by step with formulas, and it is shown how an individual vector affects the network. At the end of the process, we have a learned network with stable recognition clusters according to the vectors. The process of the learning algorithm is presented by a generalized net model.},
 type={Text},
 title={Modern approaches in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume II: Applications * Generalized net model of slow learning algorithm of unsupervised art2 neural network},
 URL={http://www.rcin.org.pl/Content/197952/PDF/KS-2014-03-T2R05.pdf},
}