Journal ArticleDOI
Artificial neural network approach for modelling and prediction of algal blooms
TLDR
Artificial neural networks are introduced and applied as a new, promising model type for modelling and prediction of algal blooms to indicate that artificial neural networks can fit the complexity and nonlinearity of ecological phenomena apparently to a high degree.About:
This article is published in Ecological Modelling.The article was published on 1997-03-01. It has received 330 citations till now. The article focuses on the topics: Algal bloom.read more
Citations
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Journal ArticleDOI
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
Holger R. Maier,Graeme C. Dandy +1 more
TL;DR: The steps that should be followed in the development of artificial neural network models are outlined, including the choice of performance criteria, the division and pre-processing of the available data, the determination of appropriate model inputs and network architecture, optimisation of the connection weights (training) and model validation.
Book
The Ecology of Phytoplankton
TL;DR: Reynolds as discussed by the authors provides basic information on composition, morphology and physiology of the main phyletic groups represented in marine and freshwater systems and reviews recent advances in community ecology, developing an appreciation of assembly processes, co-existence and competition, disturbance and diversity.
Journal ArticleDOI
Review and comparison of methods to study the contribution of variables in artificial neural network models
TL;DR: The PaD method was found to be the most useful as it gave the most complete results, followed by the Profile method that gave the contribution profile of the input variables, and the classical stepwise methods gave the poorest results.
Journal ArticleDOI
Artificial neural networks as a tool in ecological modelling, an introduction
Sovan Lek,Jean-François Guégan +1 more
TL;DR: Some of the most important papers of the first workshop about ANNs in ecological modelling are presented, including two algorithms frequently used; one supervised network, the backpropagation algorithm; and one unsupervisednetwork, the Kohonen self-organizing mapping algorithm.
Posted Content
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
TL;DR: This article proposed model class reliance (MCR) as the range of VI values across all well-performing models in a prespecified class, which gives a more comprehensive description of importance by accounting for the fact that many prediction models, possibly of different parametric forms, may fit the data well.
References
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Journal ArticleDOI
A review of harmful algal blooms and their apparent global increase
TL;DR: The role of dissolved organic nitrogen in phytoplankton nutrition, cell biology and ecology, and the status of generic concepts in coralline algae (Rhodophyta) are reviewed.
Journal Article
The PEG-model of seasonal succession of planktonic events in fresh waters
Book
Algal toxins in seafood and drinking water
TL;DR: Some Taxonomic and Biologic Aspects of Toxic Dinoflagellates and Toxic Cyanophycea (Cyanobacteria).
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Domoic acid and amnesic shellfish poisoning: a review
TL;DR: A new type of seafood toxicity, called amnesic shellfish poisoning, was described from 107 human cases after individuals consumed mussels containing domoic acid harvested from Prince Edward Island, Canada, in 1987, and three patients died.