Modelling and Prediction of the CNY Exchange Rate Using RBF Neural Network

The CNY exchange rates can be viewed as financial time series which are charactered by high uncertainty, nonlinearity and time-varying behavior. Predictions for exchange rates of GBP-CNY and USD-CNY were carried respectively by means of RBF neural network forecasters. The detailed designs for architectures of RBF neural network models, transfer functions of the hidden layer nodes, input vectors and output vectors were made with many tests. Experimental results show that the performance of RBF neural networks for forecasting CNY spot exchange rates is acceptable and effective.