Detail publikace

Modeling Logical Function Antivalence Using Neural Network in MATLAB

POLÍVKA, M. ŠKORPIL, V.

Originální název

Modeling Logical Function Antivalence Using Neural Network in MATLAB

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The article purpose is to give basic introduction to modeling neural networks using the MATLAB 2010b. The article deals especially with modeling XOR operation. A related works accessible for these problems are obsolete and don't reflect present progress and new versions of the software. The article summarizes basic training technique for Feedforward Backpropagation algorithm; clarify the neural network training setup and shows troubles of nntool usage.

Klíčová slova

exclusive disjunction, MATLAB, neural network, nntool, XOR

Autoři

POLÍVKA, M.; ŠKORPIL, V.

Rok RIV

2011

Vydáno

7. 9. 2011

Nakladatel

VUT Brno

Místo

Brno

ISBN

978-80-214-4283-2

Kniha

The 13th International Conference on Research in Telecommunication Technologies RTT - 2011

Strany od

1

Strany do

3

Strany počet

3

BibTex

@inproceedings{BUT72806,
  author="Michal {Polívka} and Vladislav {Škorpil}",
  title="Modeling Logical Function Antivalence Using Neural Network in MATLAB",
  booktitle="The 13th International Conference on Research in Telecommunication Technologies RTT - 2011",
  year="2011",
  pages="1--3",
  publisher="VUT Brno",
  address="Brno",
  isbn="978-80-214-4283-2"
}