DSpace CRIS
DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace is used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event etc; because any profile can define its own set of properties and nested objects)
Learn More
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11455/77270| 標題: | 颱風早期降雨預測 Early Phase of Typhoon Rainfall Forecast |
作者: | 陳昶憲 Chang-Shian Chen 鍾侑達 梁家瑋 王晉倫 You-Da Chung Chai-Wei Liang Chin-Lun Wang |
關鍵字: | Case-based reasoning;案例式推理;Euclidean distance;weight similarity;歐幾里得距離法;權重相似度法 | Project: | Journal of Chinese Soil and Water Conservation, Volume 37, Issue 2, Page(s) 201-208. 中華水土保持學報, Volume 37, Issue 2, Page(s) 201-208. |
URI: | http://hdl.handle.net/11455/77270 | ISSN: | 0255-6073 |
| Appears in Collections: | 第37卷 第02期 水土保持學系 |
Files in This Item:
| File | Size | Format | Existing users please Login |
|---|---|---|---|
| 82715-8.pdf | 534.07 kB | Adobe PDF | This file is only available in the university internal network |
TAIR Related Article
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.