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NCA
2008
IEEE

The application of ridge polynomial neural network to multi-step ahead financial time series prediction

9 years 3 months ago
The application of ridge polynomial neural network to multi-step ahead financial time series prediction
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorithm, and can get trapped in local minima, this work deals with ridge polynomial neural networks (RPNN), which maintain fast learning properties and powerful mapping capabilities of single layer high order neural networks. The RPNN is constructed from a number of increasing orders of Pi
Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsi
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2008
Where NCA
Authors Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsis, H. Tawfik
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