Application of artificial neural networks for classifying lake eutrophication status

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	15-25
Journal	Lakes and reservoirs : research and management
Volume	12
Issue number	1
Publication status	Published - 2007

Keywords

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{a1e5511265e44e70a24ab8f274350b29,

title = "Application of artificial neural networks for classifying lake eutrophication status",

keywords = "ADLIB-ART-3131, WRS, ITC-ISI-JOURNAL-ARTICLE",

author = "R.O. Strobl and F. Forte and L. Pennetta",

year = "2007",

language = "English",

volume = "12",

pages = "15--25",

journal = "Lakes and reservoirs : research and management ",

issn = "1440-1770",

publisher = "Wiley-Blackwell",

number = "1",

}

TY - JOUR

T1 - Application of artificial neural networks for classifying lake eutrophication status

AU - Strobl, R.O.

AU - Forte, F.

AU - Pennetta, L.

PY - 2007

Y1 - 2007

KW - ADLIB-ART-3131

KW - WRS

KW - ITC-ISI-JOURNAL-ARTICLE

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2007/isi/strobl_app.pdf

M3 - Article

SN - 1440-1770

VL - 12

SP - 15

EP - 25

JO - Lakes and reservoirs : research and management

JF - Lakes and reservoirs : research and management

IS - 1

ER -