Multisensors Signal Processing Using ANFIS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00207082" target="_blank" >RIV/68407700:21230/13:00207082 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Multisensors Signal Processing Using ANFIS
Original language description
An improved algorithm of intelligent data processing by integrating the modified identification method of individual characteristic curve along with the adaptive neuro-fuzzy inference system (ANFIS) was proposed. The results of data prediction with training the ANFIS system and the different number of training epochs are described. The proposed approach provides the high accuracy of data prediction as well as low neural network training error.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
—
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IDAACS 2013 - Proceedings of the 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems
ISBN
978-1-4799-1426-5
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
315-318
Publisher name
IEEE
Place of publication
Berlin
Event location
Berlin
Event date
Sep 12, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—