| Title | An Extended TopoART Network for the Stable On-Line Learning of Regression Functions |
| Publication Type | Conference Paper |
| Year of Publication | 2011 |
| Authors | Tscherepanow, M. |
| Conference Name | International Conference on Neural Information Processing (ICONIP) |
| Conference Start Date | 14/11/2011 |
| Publisher | Springer |
| Conference Location | Shanghai, China |
| Editor | Lu, B. - L., L. Zhang, and J. Kwok |
| Keywords | Adaptive Resonance Theory, on-line learning, Regression, TopoART |
| Abstract | In this paper, a novel on-line regression method is presented. Due to its origins in Adaptive Resonance Theory neural networks, this method is particularly well-suited to problems requiring stable incremental learning. Its performance on five publicly available datasets is shown to be at least comparable to two established off-line methods. Furthermore, it exhibits considerable improvements in comparison to its closest supervised relative Fuzzy ARTMAP. |
| URL | http://www.springerlink.com/content/g46154308108150t/ |
| DOI | 10.1007/978-3-642-24958-7_65 |
