Evolving chaotic neural systems for time series prediction
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, D.-W. | - |
dc.contributor.author | Sim, K.-B. | - |
dc.date.accessioned | 2022-04-14T10:40:08Z | - |
dc.date.available | 2022-04-14T10:40:08Z | - |
dc.date.issued | 1999-07 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56579 | - |
dc.description.abstract | We present a new type of neural architecture consisting of chaotic neurons and apply it to the prediction of chaotic time series signals. To evolve chaotic neural systems, we use cellular automata whose production rules are evolved based on a DNA coding method. The structure of networks are appropriate for learning nonlinear, chaotic, and nonstationary systems. In order to verify their effectiveness, we apply the evolutionary chaotic neural systems to one-step ahead prediction of Mackey-Glass time series data. © 1999 IEEE. | - |
dc.format.extent | 7 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Evolving chaotic neural systems for time series prediction | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/CEC.1999.781941 | - |
dc.identifier.bibliographicCitation | Proceedings of the 1999 Congress on Evolutionary Computation, CEC 1999, v.1, pp 310 - 316 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-33745933018 | - |
dc.citation.endPage | 316 | - |
dc.citation.startPage | 310 | - |
dc.citation.title | Proceedings of the 1999 Congress on Evolutionary Computation, CEC 1999 | - |
dc.citation.volume | 1 | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordPlus | Cellular automata | - |
dc.subject.keywordPlus | Time series | - |
dc.subject.keywordPlus | Chaotic neurons | - |
dc.subject.keywordPlus | Chaotic time series | - |
dc.subject.keywordPlus | Mackey-glass time series | - |
dc.subject.keywordPlus | Neural architectures | - |
dc.subject.keywordPlus | Neural systems | - |
dc.subject.keywordPlus | Nonstationary systems | - |
dc.subject.keywordPlus | Production rules | - |
dc.subject.keywordPlus | Time series prediction | - |
dc.subject.keywordPlus | Forecasting | - |
dc.description.journalRegisteredClass | scopus | - |
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