The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 20-869
Full Name: David Samek
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: nam. T. G. Masaryka 5555, Zlin
Country: CZECH REPUBLIC
Tel: 576035157
Tel prefix: +420
Fax: 576035176
E-mail address: samek@ft.utb.cz
Other E-mails:
Title of the Paper: Artificial neural networks in artificial time series prediction benchmark
Authors as they appear in the Paper: David Samek, David Manas
Email addresses of all the authors: samek@ft.utb.cz, dmanas@ft.utb.cz
Number of paper pages: 9
Abstract: The work is aimed to research of predicting abilities of artificial neural networks. The characteristic samples of artificial neural network types were selected to be compared in numerous simulations, while influences of key parameters are studied. The tested artificial networks are as follows: multilayered feed-forward neural network, recurrent Elman neural network, adaptive linear network and radial basis function neural network.
Keywords: Artificial neural network, benchmark, prediction, time series
EXTENSION of the file: .doc
Special (Invited) Session: Comparison of artificial neural networks using prediction benchmarking
Organizer of the Session: 655-206
How Did you learn about congress: Lubomir Macku macku@fai.utb.cz, Jabub Javorik javorik@ft.utb.cz
IP ADDRESS: 195.178.89.71
