Cost Functions Based on Different Types of Distance Measurements for Pseudo Neural Network Synthesis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43873865" target="_blank" >RIV/70883521:28140/15:43873865 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-19824-8_24" target="_blank" >http://dx.doi.org/10.1007/978-3-319-19824-8_24</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-19824-8_24" target="_blank" >10.1007/978-3-319-19824-8_24</a>
Alternative languages
Result language
angličtina
Original language name
Cost Functions Based on Different Types of Distance Measurements for Pseudo Neural Network Synthesis
Original language description
This research deals with a novel approach to classification. New classifiers are synthesized as a complex structure via evolutionary symbolic computation techniques. Compared to previous research, this paper synthesizes multi-input-multi-output (MIMO) classifiers with different cost function based on distance measurements. An inspiration for this work came from the field of artificial neural networks (ANN). The proposed technique creates a relation between inputs and outputs as a whole structure together with numerical values which could be observed as weights in ANN. Distances used in cost functions were: Manhattan (absolute distances of output vectors), Euclidean, Chebyshev (maximum distance value), Canberra distance, Bray - Curtis. The Analytic Programming (AP) was utilized as the tool of synthesis by means of the evolutionary symbolic regression. For experimentation, Differential Evolution for the main procedure and also for meta-evolution version of analytic programming was used.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and computing. Mendel 2015
ISBN
978-3-319-19823-1
ISSN
2194-5357
e-ISSN
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Number of pages
11
Pages from-to
291-301
Publisher name
VUT v Brně
Place of publication
Brno
Event location
Brno
Event date
Jun 23, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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