Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

A comparative study of artificial neural networks and neuro-fuzzy in continuous modeling of the daily and hourly behaviour of runoff

Authors=AQIL Muhammad, KITA Ichiro, YANO Akira, NISHIYAMA Soichi

Journal/Book_names=Journal of Hydrology

volume=337

number=1-2

pages=22-34

Publish_year=2007

Publish_Country=NLD

Publisher=Elsevier B.V.

Language_of_Text=EN

Language_of_Abs=EN

ISSN=221694

DOI=10.1016/j.jhydrol.2007.01.013

ID=200721862

@id=https://gbank.gsj.jp/ld/resource/geolis/200721862