USING MULTITHRESHOLD QUADRATIC SIGMOIDAL NEURONS TO IMPROVE CLASSIFICATION CAPABILITY OF MULTILAYER PERCEPTRONS
| dc.citation.epage | 519 | en_US |
| dc.citation.issue | 3 | en_US |
| dc.citation.spage | 516 | en_US |
| dc.citation.volume | 5 | en_US |
| dc.citation.woscount | 4 | |
| dc.contributor.author | CHIANG, CC | en_US |
| dc.contributor.author | FU, HC | en_US |
| dc.contributor.department | 資訊工程學系 | zh_TW |
| dc.contributor.department | Department of Computer Science | en_US |
| dc.date.accessioned | 2014-12-08T15:04:00Z | |
| dc.date.available | 2014-12-08T15:04:00Z | |
| dc.date.issued | 1994-05-01 | en_US |
| dc.description.abstract | This letter proposes a new type of neurons called multithreshold quadratic sigmoidal neurons to improve the classification capability of muitilayer neural networks. In cooperation with single-threshold quadratic sigmoidal neurons, the multithreshold quadratic sigmoidal neurons can be used to improve the classification capability of multilayer neural networks by a factor of four compared to committee machines and by a factor of two compared to the conventional sigmoidal multilayer perceptrons. | en_US |
| dc.identifier.doi | 10.1109/72.286930 | en_US |
| dc.identifier.issn | 1045-9227 | en_US |
| dc.identifier.journal | IEEE TRANSACTIONS ON NEURAL NETWORKS | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1109/72.286930 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/2498 | |
| dc.identifier.wosnumber | WOS:A1994NR36000024 | |
| dc.language.iso | en_US | en_US |
| dc.title | USING MULTITHRESHOLD QUADRATIC SIGMOIDAL NEURONS TO IMPROVE CLASSIFICATION CAPABILITY OF MULTILAYER PERCEPTRONS | en_US |
| dc.type | Letter | en_US |