Detail publikace

Comparison of Neural Network and Grammatical Evolution for Time Series Prediction

LÝSEK, J. ŠŤASTNÝ, J. MOTYČKA, A.

Originální název

Comparison of Neural Network and Grammatical Evolution for Time Series Prediction

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this contribution we present a comparison of a neural network with an agent created by grammatical evolution for time series prediction problem. We use the back-propagation algorithm to train the neural network for predicting future value of a time series. To evolve prediction agents we use grammatical evolution with backwards processing and equalization operator. Finally the results of both methods are compared by their ability to predict time series values, by time needed to create prediction model and setup difficulty.

Klíčová slova

neural network, grammatical evolution, learning, prediction

Klíčová slova v angličtině

neural network, grammatical evolution, learning, prediction

Autoři

LÝSEK, J.; ŠŤASTNÝ, J.; MOTYČKA, A.

Rok RIV

2013

Vydáno

26. 6. 2013

Místo

Brno

ISBN

978-80-214-4755-4

Kniha

Mendel 2013

Strany od

215

Strany do

220

Strany počet

6

BibTex

@inproceedings{BUT100945,
  author="Jiří {Lýsek} and Jiří {Šťastný} and Arnošt {Motyčka}",
  title="Comparison of Neural Network and Grammatical Evolution for Time Series Prediction",
  booktitle="Mendel 2013",
  year="2013",
  pages="215--220",
  address="Brno",
  isbn="978-80-214-4755-4"
}