On constructing fuzzy membership functions and applications in fuzzy neural networks
| dc.contributor | 國立臺灣師範大學電機工程學系 | zh_tw |
| dc.contributor.author | C.-H. Wang | en_US |
| dc.contributor.author | T.-T. Lee | en_US |
| dc.contributor.author | W.-Y. Wang | en_US |
| dc.contributor.author | P.-S. Tseng | en_US |
| dc.date.accessioned | 2014-10-30T09:28:26Z | |
| dc.date.available | 2014-10-30T09:28:26Z | |
| dc.date.issued | 1993-10-29 | zh_TW |
| dc.description.abstract | A unified form of fuzzy membership functions, called as B-spline membership functions (BMFs) is proposed. The computer simulation of fuzzy control of a model car is considered as an application of BMFs in fuzzy neural networks. The example shows that the number of iterations for learning is substantially less than that of conventional methods. | en_US |
| dc.description.uri | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=714029 | zh_TW |
| dc.identifier | ntnulib_tp_E0604_02_094 | zh_TW |
| dc.identifier.uri | http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/32071 | |
| dc.language | en | zh_TW |
| dc.relation | International Joint Conference on Neural Networks, pp. 778-781 | en_US |
| dc.title | On constructing fuzzy membership functions and applications in fuzzy neural networks | en_US |