DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Jin-Man | ko |
dc.contributor.author | Kim, Jong-Hwan | ko |
dc.date.accessioned | 2017-12-05T02:34:59Z | - |
dc.date.available | 2017-12-05T02:34:59Z | - |
dc.date.created | 2017-11-28 | - |
dc.date.created | 2017-11-28 | - |
dc.date.created | 2017-11-28 | - |
dc.date.issued | 2017-05-14 | - |
dc.identifier.citation | International Joint Conference on Neural Networks (IJCNN), pp.1983 - 1990 | - |
dc.identifier.issn | 2161-4393 | - |
dc.identifier.uri | http://hdl.handle.net/10203/227709 | - |
dc.description.abstract | Online sequential extreme learning machine (OSELM) is an online learning algorithm training single-hidden layer feedforward neural networks (SLFNs), which can learn data one-by-one or chunk-by-chunk with fixed or varying data size. Due to its characteristics of online sequential learning, OS-ELM is popularly used to solve time-series prediction problem, such as stock forecast, weather forecast, passenger count forecast, etc. OS-ELM, however, has two fatal drawbacks: Its input weights cannot be adjusted and it cannot be applied to learn recurrent neural network (RNN). Therefore we propose a modified version of OS-ELM, called online recurrent extreme learning machine (OR-ELM), which is able to adjust input weights and can be applied to learn RNN, by applying ELM-auto-encoder and a normalization method called layer normalization (LN). Proposed method is used to solve a time-series prediction problem on NewYork City passenger count dataset, and the results show that R-ELM outperforms OS-ELM and other online-sequential learning algorithms such as hierarchical temporal memory (HTM) and online long short-term memory (online LSTM). | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.title | Online recurrent extreme learning machine and its application to time-series prediction | - |
dc.type | Conference | - |
dc.identifier.wosid | 000426968702032 | - |
dc.identifier.scopusid | 2-s2.0-85031017328 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 1983 | - |
dc.citation.endingpage | 1990 | - |
dc.citation.publicationname | International Joint Conference on Neural Networks (IJCNN) | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | William A. Egan Civic & Convention Center, Anchorage, AK | - |
dc.identifier.doi | 10.1109/IJCNN.2017.7966094 | - |
dc.contributor.localauthor | Kim, Jong-Hwan | - |
dc.contributor.nonIdAuthor | Park, Jin-Man | - |
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