REAL-TIME RIVER-STAGE PREDICTION WITH ARTIFICIAL NEURAL NETWORK BASED ON ONLY UPSTREAM OBSERVATION DATA

Journal name: 水工学論文集 Annual journal of Hydraulic Engineering, JSCE / 土木学会水工学委員会編 62:2018

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

CiNii Research
Search Service
You can check the holdings of institutions and databases with which CiNii Research is linked at the site of CiNii Research.
Check the holdings of this book

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Material Type: 記事
Title: REAL-TIME RIVER-STAGE PREDICTION WITH ARTIFICIAL NEURAL NETWORK BASED ON ONLY UPSTREAM OBSERVATION DATA
Author/Editor: Sunmin KIM
Yasuto TACHIKAWA
Author Heading: Sunmin KIM
Yasuto TACHIKAWA
Periodical title: 水工学論文集 Annual journal of Hydraulic Engineering, JSCE / 土木学会水工学委員会編
No. or year of volume/issue: 62:2018
Volume: 62
Pages: Ⅰ_1375-1380
Publication date of volume/issue (W3CDTF): 2018
ISSN (Periodical Title): 1880-8751
ISSN-L (Periodical Title): 0916-7374
Publication (Periodical Title): 東京 : 土木学会
Place of Publication (Country Code): JP
Text Language Code: eng
Subject Heading: Artificial neural network
water-level prediction
Hirakata Station
NDLC: ZM17
Target Audience: 一般
Holding library: 国立国会図書館
Call No.: YH247-620
Data Provider (Database): 国立国会図書館 : 国立国会図書館雑誌記事索引
https://ndlsearch.ndl.go.jp
Bibliographic ID (NDL): 028907327
http://id.ndl.go.jp/bib/028907327
Bibliographic Record Category (NDL): 632