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dc.title | Pseudo neural networks via analytic programming with direct coding of constant estimation | en |
dc.contributor.author | Komínková Oplatková, Zuzana | |
dc.contributor.author | Viktorin, Adam | |
dc.contributor.author | Šenkeřík, Roman | |
dc.relation.ispartof | Proceedings - European Council for Modelling and Simulation, ECMS | |
dc.identifier.issn | 2522-2414 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.identifier.isbn | 978-0-9932440-6-3 | |
dc.date.issued | 2018 | |
dc.citation.spage | 143 | |
dc.citation.epage | 149 | |
dc.event.title | 32nd Annual Conference of the European Conference on Modelling and Simulation, ECMS 2018 | |
dc.event.location | Wilhelmshaven | |
utb.event.state-en | Germany | |
utb.event.state-cs | Německo | |
dc.event.sdate | 2018-05-22 | |
dc.event.edate | 2018-05-25 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | European Council for Modelling and Simulation | |
dc.identifier.doi | 10.7148/2018-0143 | |
dc.relation.uri | http://www.scs-europe.net/dlib/2018/2018-0143.htm | |
dc.relation.uri | http://www.scs-europe.net/dlib/2018/ecms2018acceptedpapers/0143_is_ecms2018_0861.pdf | |
dc.subject | pseudo neural networks | en |
dc.subject | analytic programming | en |
dc.subject | differential evolution | en |
dc.description.abstract | This research deals with a novel approach to classification - pseudo neural networks (PNN). This technique was inspired in classical artificial neural networks (ANN), where a relation between inputs and outputs is based on the mathematical transfer functions and optimised numerical weights. Compared to ANN, the whole structure in PNN, i.e. the relation between inputs and output(s), is fully synthesised by evolutionary symbolic regression tool - analytic programming. Compared to previous synthesised models, the PNN in this paper were synthesised via a new approach to constant estimation inside the analytic programming - direct coding. Iris data was used for the experiments and PNN were used for the synthesis of a complex classifier for more classes. For experimentation, Differential Evolution (de/rand/1/bin) for optimisation in analytic programming (AP) was used. © ECMS Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1008574 | |
utb.identifier.obdid | 43879080 | |
utb.identifier.scopus | 2-s2.0-85062836704 | |
utb.identifier.wok | 000656119000021 | |
utb.source | d-scopus | |
dc.date.accessioned | 2019-07-08T11:59:56Z | |
dc.date.available | 2019-07-08T11:59:56Z | |
dc.description.sponsorship | Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2018/003]; COST (European Cooperation in Science Technology) [CA15140, IC1406]; A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin | |
utb.contributor.internalauthor | Komínková Oplatková, Zuzana | |
utb.contributor.internalauthor | Viktorin, Adam | |
utb.contributor.internalauthor | Šenkeřík, Roman | |
utb.fulltext.affiliation | Zuzana Kominkova Oplatkova, Adam Viktorin, Roman Senkerik Tomas Bata University in Zlin, Faculty of Applied Informatics Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {oplatkova, aviktorin, senkerik}@.utb.cz | |
utb.fulltext.dates | - | |
utb.wos.affiliation | [Oplatkova, Zuzana Kominkova; Viktorin, Adam; Senkerik, Roman] Tomas Bata Univ Zlin, Fac Appl Info Lat, Nam TG Masaryka 5555, Zlin 76001, Czech Republic | |
utb.scopus.affiliation | Tomas Bata University in Zlin, Faculty of Applied Informatics, Nam T.G. Masaryka 5555, Zlin, 760 01, Czech Republic | |
utb.fulltext.faculty | Faculty of Applied Informatics | |
utb.fulltext.faculty | Faculty of Applied Informatics | |
utb.fulltext.faculty | Faculty of Applied Informatics |