Detail publikace

PRINCIPLE OF TRAINING ARTIFICIAL NEURAL NETWORKS USING BACKPROPAGATION ALGORITHM

Tomáš Ondrák

Originální název

PRINCIPLE OF TRAINING ARTIFICIAL NEURAL NETWORKS USING BACKPROPAGATION ALGORITHM

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

backpropagation algortihm, artificial neural network, training

Autoři

Tomáš Ondrák

Rok RIV

2007

Vydáno

1. 1. 2007

ISBN

978-80-214-3409-7

Kniha

Proceedings of the 13th Conference STUDENT EEICT 2007 Volume 3

Číslo edice

1

Strany od

169

Strany do

173

Strany počet

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"
}