A New Approach Using Temporal Radial Basis Function in Chronological Series
Faculty of Electrical Engineering, University of Science and Technology, Algeria
Abstract:In this paper, we present an extended form of the radial basis function network called temporal- radial basis function network. This extended network is used in decision rules and classification in spatio-temporal domain applications like speech recognition, economic fluctuations, seismic measurements and robotics applications. We found that such a network complies, with a relative ease, to constraints such as capacity of universal approximation, sensibility of node, local generalisation in receptive field, etc. For an optimal solution based on a probabilistic approach with a minimum of complexity, we developped two temporal radial basis function models. Application to the problem of Mackey-Glass time series, it has revealed that temporal radial basis function models are very promising, compared to traditional networks.
Keywords: Temporal RBF, classification, spatio-temporal, speech recognition, robotics applications.
Received August 9, 2007; accepted Novembre 5, 2007