| dc.contributor | 資訊管理學系 | zh_TW |
| dc.creator (作者) | 蔡瑞煌 | zh_TW |
| dc.creator (作者) | Tsaih, Rua-Huan | en_US |
| dc.date (日期) | 1997 | |
| dc.date.accessioned | 17-Aug-2017 16:28:06 (UTC+8) | - |
| dc.date.available | 17-Aug-2017 16:28:06 (UTC+8) | - |
| dc.date.issued (上傳時間) | 17-Aug-2017 16:28:06 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/112024 | - |
| dc.description.abstract (摘要) | The Reasoning Neural Network (RN) has a learning algorithm belonging to the weight-and-structure-change category, because it puts only one hidden node in the initial network structure, and will recruit and prune hidden nodes during the learning process. Empirical results show that learning of the RN is guaranteed to be completed, the number of required hidden nodes is reasonable, that the speed of learning is much faster than back propagation networks, and that the RN is able to develop good internal representation. | en_US |
| dc.format.extent | 730352 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Mathematics of Neural Networks pp 366-371 Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 8) | en_US |
| dc.title (題名) | Reasoning Neural Networks | en_US |
| dc.type (資料類型) | book/chapter | |
| dc.identifier.doi (DOI) | 10.1007/978-1-4615-6099-9_64 | |
| dc.doi.uri (DOI) | https://doi.org/10.1007/978-1-4615-6099-9_64 | |
