Publication detail

Neural Networks and Back Propagation Algorithm

ŠKORPIL, V. ŠŤASTNÝ, J.

Original Title

Neural Networks and Back Propagation Algorithm

Type

conference paper

Language

English

Original Abstract

This paper describes our research about neural networks and back propagation algorithm. Back-propagation algorithm is based on minimization of neural network Back-propagation algorithm is an iterative method where the network gets from an initial non-learned state to the full learned one. The learning algorithm of back-propagation is essentially an optimization method being able to find weight coefficients and thresholds for the given neural network and training set.

Keywords

Neural networks, Back propagation algorithm

Authors

ŠKORPIL, V.; ŠŤASTNÝ, J.

RIV year

2006

Released

20. 9. 2006

Publisher

rechnical University - Sofia

Location

Sozopol, Bulgaria

ISBN

954-438-564-9

Book

The 15th International Scientific and Applied Science Conference Electronics ET´2006, Proceedings of the Conference

Edition

The 15th Internqational Scientific and Applied Science Conference Electronics ET´2006,

Edition number

1

Pages from

173

Pages to

178

Pages count

6

BibTex

@inproceedings{BUT21881,
  author="Vladislav {Škorpil} and Jiří {Šťastný}",
  title="Neural Networks and Back Propagation Algorithm",
  booktitle="The 15th International Scientific and Applied Science Conference Electronics ET´2006, Proceedings of the Conference",
  year="2006",
  series="The 15th Internqational Scientific and Applied Science Conference Electronics ET´2006,",
  number="1",
  pages="6",
  publisher="rechnical University - Sofia",
  address="Sozopol, Bulgaria",
  isbn="954-438-564-9"
}