A Hybrid Approach for Predicting River Runoff
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096537" target="_blank" >RIV/61989100:27240/15:86096537 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/15:86096537 RIV/61989100:27730/15:86096537
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-21206-7_6" target="_blank" >http://dx.doi.org/10.1007/978-3-319-21206-7_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-21206-7_6" target="_blank" >10.1007/978-3-319-21206-7_6</a>
Alternative languages
Result language
angličtina
Original language name
A Hybrid Approach for Predicting River Runoff
Original language description
Time series prediction has attracted attention of many researchers as well as practitioners from different fields and many approaches have been proposed. Traditionally, sliding window technique was employed to transform data first and then some learningmodels such as fuzzy neural networks were exploited for prediction. In order to improve the prediction performance, we propose an approach that combines chaotic theory, recurrent fuzzy neural network (RFNN), and K-means. In the past few decades, fuzzy neural networks have been proven to be a great method for modeling, characterizing and predicting many kinds of nonlinear hydrology time series data such as rainfall, water quality, and river runoff. Chaotic theory is a field of physics and mathematics, and having been used to solve many practical problems emerging from industrial practices. In our proposed approach, chaotic theory is firstly exploited to transformoriginal data to a new kind of data called phase space. Then, a novel hybrid
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
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 370
ISBN
978-3-319-21205-0
ISSN
2194-5357
e-ISSN
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Number of pages
11
Pages from-to
61-71
Publisher name
Springer
Place of publication
Heidelberg
Event location
Ostrava
Event date
Jun 29, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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