A New Approach Using Temporal Radial Basis Function in Chronological Series

Authors : Mustapha GUEZOURI

Pages : 159-170

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Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :In this paper, we present an extended form of Radial Basis Function network called Temporal-RBF insert ignore into journalissuearticles values(T-RBF); network. This extended network can be 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 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 propose two TRBF models insert ignore into journalissuearticles values(1 and 2);. Application to the problem of Mackey-Glass time series has revealed that TRBF models are very promising, compared to traditional networks.
Keywords : Temporal RBF, Classification, Spatio Temporal, Speech recognition, Robotics applications