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Publication detail
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
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" }