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 a Jakub HORÁK

Základní údaje

Originální název

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

Autoři

VRBKA, Jaromír (203 Česká republika, garant, domácí), Petr ŠULEŘ (203 Česká republika, domácí), Veronika MACHOVÁ (203 Česká republika, domácí) a Jakub HORÁK (203 Česká republika, domácí)

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50200 5.2 Economics and Business

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Kód RIV

RIV/75081431:_____/20:00002107

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

Klíčová slova anglicky

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

Štítky

BPE_MAE, RIV21

Změněno: 30. 6. 2021 13:41, Mgr. Nikola Petříková

Anotace

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.

Přiložené soubory

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

Požádat o autorskou verzi souboru

Citovat

VRBKA, Jaromír, Petr ŠULEŘ, Veronika MACHOVÁ a 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, roč. 13, č. 2, s. 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 a 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, roč.~13, č.~2, s.~23-38. ISSN~1805-9112.

Podrobný výpis o publikaci