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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F06%3A00121663%21RIV11-MSM-21230___
rdf:type
n5:Vysledek skos:Concept
dcterms:description
Very useful outcome of a neural network model is that relationship of input and output variables can be plotted revealing some potentially interesting information about a modeled system. However this approach is not often used because there are several problems appearing from a closer look. At first there is a problem with the curse of dimensionality%22, secondly the problem of model credibility arises when system state space is not fully covered by training data. There are also problems with irrelevant input variables, with the time needed to find some useful plot in multidimensional state space, etc. This paper shows that all these problems can be successfully overcome using modern techniques of evolutionary computation and ensemble modeling. The result of our research is an application that is able to automatically locate interesting plots of system behavior. Very useful outcome of a neural network model is that relationship of input and output variables can be plotted revealing some potentially interesting information about a modeled system. However this approach is not often used because there are several problems appearing from a closer look. At first there is a problem with the curse of dimensionality%22, secondly the problem of model credibility arises when system state space is not fully covered by training data. There are also problems with irrelevant input variables, with the time needed to find some useful plot in multidimensional state space, etc. This paper shows that all these problems can be successfully overcome using modern techniques of evolutionary computation and ensemble modeling. The result of our research is an application that is able to automatically locate interesting plots of system behavior.
dcterms:title
Evolutionary Search for Interesting Behavior of Neural Network Ensembles Evolutionary Search for Interesting Behavior of Neural Network Ensembles
skos:prefLabel
Evolutionary Search for Interesting Behavior of Neural Network Ensembles Evolutionary Search for Interesting Behavior of Neural Network Ensembles
skos:notation
RIV/68407700:21230/06:00121663!RIV11-MSM-21230___
n3:aktivita
n16:Z
n3:aktivity
Z(MSM6840770012)
n3:dodaniDat
n4:2011
n3:domaciTvurceVysledku
n9:7035586 n9:1266500
n3:druhVysledku
n8:D
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
474865
n3:idVysledku
RIV/68407700:21230/06:00121663
n3:jazykVysledku
n20:eng
n3:klicovaSlova
Inductive Modeling; Niching Genetic Algorithm; Visualization
n3:klicoveSlovo
n10:Inductive%20Modeling n10:Visualization n10:Niching%20Genetic%20Algorithm
n3:kontrolniKodProRIV
[D4A3EDD6F959]
n3:mistoKonaniAkce
Vancouver
n3:mistoVydani
Los Alamitos
n3:nazevZdroje
2006 IEEE Congress on Evolutionary Computation
n3:obor
n11:JC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n4:2006
n3:tvurceVysledku
Saidl, J. Kordík, Pavel Šnorek, Miroslav
n3:typAkce
n19:WRD
n3:wos
000245125902034
n3:zahajeniAkce
2006-07-16+02:00
n3:zamer
n17:MSM6840770012
s:numberOfPages
4
n12:hasPublisher
IEEE Computer Society
n18:isbn
0-7803-9489-5
n21:organizacniJednotka
21230