引用本文:
【打印本页】   【下载PDF全文】   【View/Add Comment】  【Download reader】  【 Close 】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被：浏览 1563次   下载 2026次 本文二维码信息
码上扫一扫！
分享到： 微信 更多
字体:加大+|默认|缩小-
青岛海雾的自适应神经模糊推理系统建模
江海英1, 张韧1, 刘科峰1
解放军理工大学气象学院海洋气象教研室
摘要:
基于自适应神经模糊推理系统(ANFIS) ,通过对历史观测资料的训练和规则提取 ,建立了青岛海雾(能见度)与该站及其上游测站的风向、风速、湿度等要素的逻辑映射关系和模糊推理模型 ,进而能够较为客观、定量地描述和诊断青岛海雾的发生发展 ,对改进和提高青岛海雾预报有一定的参考应用意义。
关键词:  海雾  模糊推理  自适应神经模糊推理系统(ANFIS)
DOI：
分类号:
基金项目:教育部骨干教师资助计划(3149)
Anfis modeling on Qingdao sea fog
Abstract:
According to the Adaptive Neuro - Fuzzy Inference System(ANFIS)，the authors tested model and set rules for extracting the past observation data. The logical mapping relation and fuzzy inference system between Qingdao visibility and its wind direction / speed, humidity as well as its upper observation station(Shanghai) wind direction were established. The occurrence and development of Qingdao sea fog could be therefore described and diagnosed more objectively and quantitatively，which may provide clues in the prediction of sea fog in Qingdao.
Key words:  sea fog  fuzzy inference  ANFIS
Copyright ©  Editorial Office for Marine Sciences Copyright©2008 All Rights Reserved
Supervised by: Chinese Academy of Sciences (CAS)   Sponsored by: Institute of Oceanology, CAS
Address: 7 Nanhai Road, Qingdao, China.  Postcode: 266071  Tel: 0532-82898755  E-mail: bjb@qdio.ac.cn
Technical support: Beijing E-Tiller Co.,Ltd.