Training set fuzzification towards prediction improvement
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F17%3AA1801QXX" target="_blank" >RIV/61988987:17310/17:A1801QXX - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-59650-1_18" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-59650-1_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-59650-1_18" target="_blank" >10.1007/978-3-319-59650-1_18</a>
Alternative languages
Result language
angličtina
Original language name
Training set fuzzification towards prediction improvement
Original language description
This article presents a method of fuzzification of variables using a histogram. This approach is used when creating an output vector of a training set that forms linguistic variables. An appropriate transformation of an input vector of the training sets was also proposed. Both of the aforesaid procedures were described in detail in the article. An extensive comparative experimental study with the following outcomes was carried out. The neural net which was adapted by the transformed training set showed a significantly better prediction than a neural network which was adapted by a training set without making any changes. The results of this experimental study were analyzed in the conclusion.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Artificial Intelligence
ISBN
978-331959649-5
ISSN
0302-9743
e-ISSN
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Number of pages
13
Pages from-to
207-219
Publisher name
Springer Verlag
Place of publication
Cham, Switzerland
Event location
La Rioja; Spain
Event date
Jun 21, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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