Tropical cyclone identification and tracking system using integrated neural oscillatory elastic graph matching and hybrid RBF network track mining techniques

We present an automatic and integrated neural network-based tropical cyclone (TC) identification and track mining system. The proposed system consists of two main modules: 1) TC pattern identification system using neural oscillatory elastic graph matching model; and 2) TC track mining system using h...

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Veröffentlicht in:IEEE transaction on neural networks and learning systems 2000-05, Vol.11 (3), p.680-689
Hauptverfasser: Lee, R.S.T., Liu, J.N.K.
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Sprache:eng
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