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This research investigates the use of ridge polynomial neural network (RPNN) as non-linear prediction model to forecast the future trends of financial time series. The network was used for the prediction of one step ahead and five steps ahead of two exchange rate signals; the British Pound to Euro and the Japanese Yen to British Pound. In order to deal with(More)
—Nowadays, computer scientists have shown the interest in the study of social insect's behaviour in neural networks area for solving different combinatorial and statistical problems. Chief among these is the Artificial Bee Colony (ABC) algorithm. This paper investigates the use of ABC algorithm that simulates the intelligent foraging behaviour of a honey(More)
This paper presents a novel application of ridge polynomial neural network to forecast the future trends of financial time series data. The prediction capability of ridge polynomial neural network was tested on four different data sets; the US/EU exchange rate, the UK/EU exchange rate, the JP/EU exchange rate, and the IBM common stock closing price. The(More)