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
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 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.