Flexible neural trees—Parallel learning on HPC
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238063" target="_blank" >RIV/61989100:27240/17:10238063 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/17:10238063
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-981-10-3391-9_4" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-981-10-3391-9_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-10-3391-9_4" target="_blank" >10.1007/978-981-10-3391-9_4</a>
Alternative languages
Result language
angličtina
Original language name
Flexible neural trees—Parallel learning on HPC
Original language description
he purpose of this research is to develop effective parallel Flexible Neural Tree learning algorithm based on Message Passing Interface at High Performance Computing environment. The implemented framework utilizes two bio-inspired evolutionary algorithms that were parallelized. Genetic algorithm is used to develop structure of FNT and differential evolution for fine tunning of the parameters. Framework was tested for its correctness and scalability on Anselm cluster. Scalability experiments prove good performance results.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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
Advances in intelligent systems and computing. Volume 568
ISBN
978-981-10-3390-2
ISSN
2194-5357
e-ISSN
neuvedeno
Number of pages
11
Pages from-to
67-77
Publisher name
Springer
Place of publication
Singapur
Event location
Kalkata
Event date
Aug 12, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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