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
Edition
Littera Scripta, České Budějovice, Česká republika, Vysoká škola technická a ekonomická, 2020, 1805-9112
Other information
Type of outcome
Article in a journal
Field of Study
50200 5.2 Economics and Business
Country of publisher
Czech Republic
Confidentiality degree
is not subject to a state or trade secret
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
In the original language
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.
Displayed: 15/11/2025 09:47