On the Similarity Between Neural Network and Evolutionary Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10247260" target="_blank" >RIV/61989100:27240/20:10247260 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/20:10247260
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007%2F978-3-030-61401-0_15.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2F978-3-030-61401-0_15.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-61401-0_15" target="_blank" >10.1007/978-3-030-61401-0_15</a>
Alternative languages
Result language
angličtina
Original language name
On the Similarity Between Neural Network and Evolutionary Algorithm
Original language description
Artificial neural networks, evolutionary algorithms (and swarm intelligence) are common algorithms belonging to well known soft-computing algorithms. Both classes of algorithms have their history, principles and represent two different biological areas, converted to computer technology. Despite fact that scientists already exhibited that both systems exhibit almost the same behavior dynamics (chaotic regimes etc.), researchers still take both classes of algorithms as two different classes. We show in this paper, that there are some similarities, that can help to understand evolutionary algorithms as neural networks and vice versa. (C) 2020, Springer Nature Switzerland AG.
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
2020
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 Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12415
ISBN
978-3-030-61400-3
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
147-158
Publisher name
Springer
Place of publication
Cham
Event location
Zakopané
Event date
Oct 12, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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