PL EN


Preferences help
enabled [disable] Abstract
Number of results
- |
Article title

Fuzzy modeling with the particle swarm optimization algorithm

Content
Title variants
Languages of publication
PL
Abstracts
PL
The main goal of this paper is a description of clustering algorithm based on the particle swarm optimization algorithm, inspired on social behavior of animals and its application in fuzzy modeling. In the paper the idea of the heuristic swarm-based algorithm was presented, including a few modifications. Moreover, the results of the experimental evaluation were shown, both a selected optimization technique and its synthesi with a fuzzy modeling method referring to the k-means algorithm and the fuzzy control process.
Publisher
Year
-
Physical description
Dates
online
2015-04-29
Contributors
References
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.ojs-nameId-6e3e8ea9-5a94-37a7-828b-e6cd5da23db6-year-2015-article-2021
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.