Evaluation of performance of MLP neural networks and RBF neural
networks in adjusting time series of the development of the
trade balance between the USA and the PRC

J 2020

Evaluation of performance of MLP neural networks and RBF neural networks in adjusting time series of the development of the trade balance between the USA and the PRC

VRBKA, Jaromír, Petr ŠULEŘ, Veronika MACHOVÁ and Jakub HORÁK

Basic information

Original name

Evaluation of performance of MLP neural networks and RBF neural networks in adjusting time series of the development of the trade balance between the USA and the PRC

Authors

VRBKA, Jaromír (203 Czech Republic, guarantor, belonging to the institution), Petr ŠULEŘ (203 Czech Republic, belonging to the institution), Veronika MACHOVÁ (203 Czech Republic, belonging to the institution) and Jakub HORÁK (203 Czech Republic, belonging to the institution)

Edition

Littera Scripta, České Budějovice, Česká republika, Vysoká škola technická a ekonomická, 2020, 1805-9112

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50200 5.2 Economics and Business

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

RIV identification code

RIV/75081431:_____/20:00002107

Organization unit

Institute of Technology and Business in České Budějovice

Keywords in English

multilayer neural networks; RBF; trade balance; future development prediction; USA; People's Republic of China; correlation coefficient

Abstract

V originále

Authors aim is to analyse and evaluate the performance of multilayer neural networks and neural networks of radial basis function in adjusting time series on the example of the trade balance between the United States and the People's Republic of China.

Files attached

Evaluation_of_performance_of_MLP_neural_networks_and_RBF_neural_networks_in_adjusting_time_series_of_the_development_of_the_trade_balance_between_the_USA_and_the_PRC.pdf

Request the author's version of the file

Citovat

VRBKA, Jaromír, Petr ŠULEŘ, Veronika MACHOVÁ and Jakub HORÁK. Evaluation of performance of MLP neural networks and RBF neural networks in adjusting time series of the development of the trade balance between the USA and the PRC. Littera Scripta. České Budějovice, Česká republika: Vysoká škola technická a ekonomická, 2020, vol. 13, No 2, p. 23-38. ISSN 1805-9112.

@article{58981,
   author = {Vrbka, Jaromír and Šuleř, Petr and Machová, Veronika and Horák, Jakub},
   article_location = {České Budějovice, Česká republika},
   article_number = {2},
   keywords = {multilayer neural networks; RBF; trade balance; future development prediction; USA; People's Republic of China; correlation coefficient},
   language = {eng},
   issn = {1805-9112},
   journal = {Littera Scripta},
   title = {Evaluation of performance of MLP neural networks and RBF neural networks in adjusting time series of the development of the trade balance between the USA and the PRC},
   url = {https://www.littera-scripta.com/wp-content/uploads/2021/02/2_20-Vrbka_Suler_Machova_Horak.pdf},
   volume = {13},
   year = {2020}
}

TY  - JOUR
ID  - 58981
AU  - Vrbka, Jaromír - Šuleř, Petr - Machová, Veronika - Horák, Jakub
PY  - 2020
TI  - Evaluation of performance of MLP neural networks and RBF neural networks in adjusting time series of the development of the trade balance between the USA and the PRC
JF  - Littera Scripta
VL  - 13
IS  - 2
SP  - 23-38
EP  - 23-38
PB  - Vysoká škola technická a ekonomická
SN  - 18059112
KW  - multilayer neural networks
KW  - RBF
KW  - trade balance
KW  - future development prediction
KW  - USA
KW  - People's Republic of China
KW  - correlation coefficient
UR  - https://www.littera-scripta.com/wp-content/uploads/2021/02/2_20-Vrbka_Suler_Machova_Horak.pdf
N2  - Authors aim is to analyse and evaluate the performance of multilayer neural networks and neural networks of radial basis function in adjusting time series on the example of the trade balance between the United States and the People's Republic of China.
ER  -

VRBKA, Jaromír, Petr ŠULEŘ, Veronika MACHOVÁ and Jakub HORÁK. Evaluation of performance of MLP neural networks and RBF neural networks in adjusting time series of the development of the trade balance between the USA and the PRC. \textit{Littera Scripta}. České Budějovice, Česká republika: Vysoká škola technická a ekonomická, 2020, vol.~13, No~2, p.~23-38. ISSN~1805-9112.

Detailed Information on Publication Record