Development of Intelligent Gear-Shifting Map Based on Radial Basis Function Neural Networks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 하상형 | - |
dc.contributor.author | 전홍태 | - |
dc.date.available | 2019-05-29T03:36:03Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 1598-2645 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/19797 | - |
dc.description.abstract | Currently, most automobiles have automatic transmission systems. The gear-shifting strategy used to generate shift patterns in transmission systems plays an important role in improving the performance of vehicles. However, conventional transmission systems have a fixed type of shift map, so it may not be enough to provide an efficient gear-shifting pattern to satisfy the demands of driver. In this study, we developed an intelligent strategy to handle these problems. This approach is based on a normalized radial basis function neural network, which can generate a flexible gear-shift pattern to satisfy the demands of drivers, including comfortable travel and fuel consumption. The method was verified through simulations. | - |
dc.format.extent | 8 | - |
dc.publisher | 한국지능시스템학회 | - |
dc.title | Development of Intelligent Gear-Shifting Map Based on Radial Basis Function Neural Networks | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | International Journal of Fuzzy Logic and Intelligent systems, v.13, no.2, pp 116 - 123 | - |
dc.identifier.kciid | ART001780069 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 123 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 116 | - |
dc.citation.title | International Journal of Fuzzy Logic and Intelligent systems | - |
dc.citation.volume | 13 | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Automatic transmission | - |
dc.subject.keywordAuthor | Driver’s willingness | - |
dc.subject.keywordAuthor | Gear-shifting | - |
dc.subject.keywordAuthor | Normalized rad basis function neural network | - |
dc.description.journalRegisteredClass | kci | - |
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