Functional modelling of large scattered data sets using neural networks

We propose a self-organising hierarchical Radial Basis Function (RBF) network for functional modelling of large amounts of scattered unstructured point data. The network employs an error-driven active learning algorithm and a multi-layer architecture, allowing progressive bottom-up reinforcement of...

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Bibliographic Details

Main Authors:	Qinggang Meng, Baihua Li, Nicholas Costen, Horst Holstein
Format:	Default Conference proceeding
Published:	2007
Subjects:	Other information and computing sciences not elsewhere classified untagged Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/20289
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