About: Two Ways of using Artifiial Neural Networks in Knowledge Discovery from Chemical Materials Data

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In the application area of chemical materials, data mining methods have been used for more than a decade. By far most popular have from the very beginning been methods based on artificial neural networks. However, they are frequently used without awareness of the difference between the numeric nature of knowledge obtained from data by neural network regression, and the symbolic nature of knowledge obtained by some other data mining methods. This paper explains that within the surrogate modelling approach, which plays an important role in this area, using numeric knowledge is justified. At the same time, it recalls the possibility to obtain symbolic knowledge from neural networks in the form of logical rules and describes a recently proposed method for the extraction of Boolean rules in disjunctive normal form. Both ways of using neural networks are illustrated on examples from this application area. In the application area of chemical materials, data mining methods have been used for more than a decade. By far most popular have from the very beginning been methods based on artificial neural networks. However, they are frequently used without awareness of the difference between the numeric nature of knowledge obtained from data by neural network regression, and the symbolic nature of knowledge obtained by some other data mining methods. This paper explains that within the surrogate modelling approach, which plays an important role in this area, using numeric knowledge is justified. At the same time, it recalls the possibility to obtain symbolic knowledge from neural networks in the form of logical rules and describes a recently proposed method for the extraction of Boolean rules in disjunctive normal form. Both ways of using neural networks are illustrated on examples from this application area. (en)
Title	Two Ways of using Artifiial Neural Networks in Knowledge Discovery from Chemical Materials Data Two Ways of using Artifiial Neural Networks in Knowledge Discovery from Chemical Materials Data (en)
skos:prefLabel	Two Ways of using Artifiial Neural Networks in Knowledge Discovery from Chemical Materials Data Two Ways of using Artifiial Neural Networks in Knowledge Discovery from Chemical Materials Data (en)
skos:notation	RIV/67985807:_____/10:00348388!RIV11-GA0-67985807
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA201/08/1744), Z(AV0Z10300504)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Holeňa, Martin
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav informatiky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	293888
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/10:00348388
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	knowledge discovery from data; chemical data mining; artificial neural networks; rules extraction; surrogate modelling (en)
http://linked.open.../riv/klicoveSlovo	surrogate modelling artificial neural networks chemical data mining knowledge discovery from data rules extraction
http://linked.open...ontrolniKodProRIV	[A8BB7E50C43F]
http://linked.open...v/mistoKonaniAkce	Smrekovica
http://linked.open...i/riv/mistoVydani	Seňa
http://linked.open...i/riv/nazevZdroje	Information Technologies - Applications and Theory
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Complexity of perceptron and kernel networks
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Holeňa, Martin
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2010-09-21 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Informatika pro informační společnost: modely, algoritmy, aplikace
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Pont
https://schema.org/isbn	978-80-970179-4-1

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