Unravelling and forecasting algal population dynamics in two lakes different in morphometry and eutrophication by neural and evolutionary computation

Ecological Informatics

Volumn 1, Issue 2, 2006, Pages 133-151

  Recknagel, Friedrich ^a   Cao, Hongqing ^a   Kim, Bomchul ^b   Takamura, Noriko ^c   Welk, Amber ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b Kangwon National University   (South Korea)

^c NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

Author keywords

Clustering; Cyanobacteria; Diatoms; Forecasting; Hybrid evolutionary algorithms; Lake Kasumigaura; Lake Soyang; Non supervised artificial neural networks; Ordination; Recurrent supervised artificial neural networks; Time series modelling

Indexed keywords

ALGAL COMMUNITY; ENVIRONMENTAL CHANGE; EUTROPHICATION; EVOLUTION; FORECASTING METHOD; FRESHWATER ECOSYSTEM; LIMNOLOGY; MORPHOMETRY; ORDINATION; WATER QUALITY;

ASIA; EURASIA; FAR EAST; HONSHU; IBARAKI; JAPAN; KANTO; KOREA; LAKE KASUMIGAURA;

ALGAE; BACILLARIOPHYTA; CYANOBACTERIA;

EID: 33646851953     PISSN: 15749541     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoinf.2006.02.004     Document Type: Article

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