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An Online Self-Constructive Normalized Gaussian Network with Localized Forgetting
Title: | An Online Self-Constructive Normalized Gaussian Network with Localized Forgetting |
Authors: | Backhus, Jana Browse this author | Takigawa, Ichigaku Browse this author →KAKEN DB | Imai, Hideyuki Browse this author →KAKEN DB | Kudo, Mineichi Browse this author →KAKEN DB | Sugimoto, Masanori Browse this author →KAKEN DB |
Keywords: | Normalized Gaussian Networks | dynamic model selection | online learning | chaotic time series forecasting |
Issue Date: | Mar-2017 |
Publisher: | 電子情報通信学会 |
Journal Title: | IEICE transactions on fundamentals of electronics communications and computer sciences |
Volume: | E100A |
Issue: | 3 |
Start Page: | 865 |
End Page: | 876 |
Publisher DOI: | 10.1587/transfun.E100.A.865 |
Abstract: | In this paper, we introduce a self-constructive Normalized Gaussian Network (NGnet) for online learning tasks. In online tasks, data samples are received sequentially, and domain knowledge is often limited. Then, we need to employ learning methods to the NGnet that possess robust performance and dynamically select an accurate model size. We revise a previously proposed localized forgetting approach for the NGnet and adapt some unit manipulation mechanisms to it for dynamic model selection. The mechanisms are improved for more robustness in negative interference prone environments, and a new merge manipulation is considered to deal with model redundancies. The effectiveness of the proposed method is compared with the previous localized forgetting approach and an established learning method for the NGnet. Several experiments are conducted for a function approximation and chaotic time series forecasting task. The proposed approach possesses robust and favorable performance in different learning situations over all testbeds. |
Rights: | copyright©2017 IEICE |
Relation: | http://search.ieice.org/ |
Type: | article |
URI: | http://hdl.handle.net/2115/65552 |
Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 杉本 雅則
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