Publication detail

Modeling Logical Function Antivalence Using Neural Network in MATLAB

POLÍVKA, M. ŠKORPIL, V.

Original Title

Modeling Logical Function Antivalence Using Neural Network in MATLAB

English Title

Modeling Logical Function Antivalence Using Neural Network in MATLAB

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

exclusive disjunction, MATLAB, neural network, nntool, XOR

RIV year

2011

Released

07.09.2011

Publisher

VUT Brno

Location

Brno

ISBN

978-80-214-4283-2

Book

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

Pages from

1

Pages to

3

Pages count

3

Documents

BibTex


@inproceedings{BUT72806,
  author="Michal {Polívka} and Vladislav {Škorpil}",
  title="Modeling Logical Function Antivalence Using Neural Network in MATLAB",
  annote="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.",
  address="VUT Brno",
  booktitle="The 13th International Conference on Research in Telecommunication Technologies RTT - 2011",
  chapter="72806",
  howpublished="electronic, physical medium",
  institution="VUT Brno",
  year="2011",
  month="september",
  pages="1--3",
  publisher="VUT Brno",
  type="conference paper"
}