Fuzzy modeling system based on hybrid evolutionary approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F14%3A86092760" target="_blank" >RIV/61989100:27740/14:86092760 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/HIS.2013.6920457" target="_blank" >http://dx.doi.org/10.1109/HIS.2013.6920457</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/HIS.2013.6920457" target="_blank" >10.1109/HIS.2013.6920457</a>

Result language
angličtina
Original language name
Fuzzy modeling system based on hybrid evolutionary approach
Original language description
In this paper, we introduce a new evolutionary methodology to design fuzzy inference systems. An innovative hybrid stages of learning method and tuning method, contains Subtractive clustering, Adaptive Neuro-Fuzzy Inference System (ANFIS) and particle swarm optimization (PSO), is developed to generate evolutional fuzzy modeling systems with high accuracy. For the purpose of illustration and validation of the approach, some data sets have been exploited. Empirical results illustrate that the proposed method is efficient.
Czech name
—
Czech description
—

Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2013 Thirteenth International Conference on Hybrid Intelligent Systems (HIS 2013) : Yassmine Hammamet, Tunisia, 04-06 December, 2013
ISBN
978-1-4799-2439-4
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
72-77
Publisher name
IEEE
Place of publication
New York
Event location
Yassmine Hammamet
Event date
Dec 4, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)