Integrative neural networks models for stream assessment in restoration projects

Journal of Hydrology

Volumn 536, Issue , 2016, Pages 339-350

  Gazendam, Ed ^a   Gharabaghi, Bahram ^a   Ackerman, Josef D ^a   Whiteley, Hugh ^a  

^a UNIVERSITY OF GUELPH   (Canada)

Author keywords

Artificial Neural Networks; HBI; QHEI; Restoration; Richness; Stream assessment

Indexed keywords

COMPLEX NETWORKS; ECOLOGY; ECOSYSTEMS; EROSION; FLOODS; IMAGE RECONSTRUCTION; NEURAL NETWORKS; QUALITY CONTROL; RESTORATION; SENSITIVITY ANALYSIS; WATERSHEDS;

ARTIFICIAL NEURAL NETWORK MODELS; ECOSYSTEM HEALTH INDEX; NON-LINEAR RELATIONSHIPS; QHEI; RAPID GEOMORPHIC ASSESSMENTS; RICHNESS; STREAM ASSESSMENT; WATERSHED CHARACTERISTICS;

AQUATIC ECOSYSTEMS;

AQUATIC ECOSYSTEM; ARTIFICIAL NEURAL NETWORK; ASSESSMENT METHOD; BENTHIC ENVIRONMENT; DATA SET; ECOSYSTEM HEALTH; FLOODPLAIN; HABITAT RESTORATION; INVERTEBRATE; PREDICTION; RESTORATION ECOLOGY; SENSITIVITY ANALYSIS; SPECIES RICHNESS; STREAM; WATERSHED;

CANADA; ONTARIO [CANADA];

INVERTEBRATA;

EID: 84960384322     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2016.02.057     Document Type: Article

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