Turkish Journal of Electrical Engineering and Computer Sciences
Abstract
In this paper, we present an extended form of Radial Basis Function network called Temporal-RBF (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 (1 and 2). Application to the problem of Mackey-Glass time series has revealed that TRBF models are very promising, compared to traditional networks.
DOI
-
Keywords
Temporal RBF, Classification, Spatio-Temporal, Speech recognition, Robotics applications
First Page
159
Last Page
170
Recommended Citation
GUEZOURI, M (2008). A New Approach Using Temporal Radial Basis Function in Chronological Series. Turkish Journal of Electrical Engineering and Computer Sciences 16 (2): 159-170. https://doi.org/-
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