Publication detail

PRINCIPLE OF TRAINING ARTIFICIAL NEURAL NETWORKS USING BACKPROPAGATION ALGORITHM

Tomáš Ondrák

Original Title

PRINCIPLE OF TRAINING ARTIFICIAL NEURAL NETWORKS USING BACKPROPAGATION ALGORITHM

Type

conference paper

Language

English

Original Abstract

This paper describes learning process of artificial multi-layer neural network using backpropagation algorithm. To illustrate this process the three layer artificial neural network with two inputs, one hidden layer and one output is used.

Keywords

backpropagation algortihm, artificial neural network, training

Authors

Tomáš Ondrák

RIV year

2007

Released

1. 1. 2007

ISBN

978-80-214-3409-7

Book

Proceedings of the 13th Conference STUDENT EEICT 2007 Volume 3

Edition number

1

Pages from

169

Pages to

173

Pages count

5

BibTex

@inproceedings{BUT22539,
  author="Tomáš {Ondrák}",
  title="PRINCIPLE OF TRAINING ARTIFICIAL NEURAL NETWORKS USING BACKPROPAGATION ALGORITHM",
  booktitle="Proceedings of the 13th Conference STUDENT EEICT 2007 Volume 3",
  year="2007",
  number="1",
  pages="5",
  isbn="978-80-214-3409-7"
}