Titlebook: Artificial Neuronal Networks; Application to Ecolo Sovan Lek,Jean-François Guégan Book 2000 Springer-Verlag Berlin Heidelberg 2000 Tempo.al

群岛

Normalized Difference Vegetation Index Estimation in Grasslands of Patagonia by ANN Analysis of Satecorrelation with biophysical rates of the target area, such as transpiration or primary productivity (Sellers et al. 1992). . has been shown to be a linear estimator of the fraction of the photosynthetic active radiation (PAR) absorbed by the canopy (Potter et al. 1993; Ruimy et al. 1994). Monteith

Anecdote

保存

凶兆

Omniscient

Predicting Presence of Fish Species in the Seine River Basin Using Artificial Neuronal Networksey can be considered to be good indicators of the health of aquatic ecosystems (Fausch et al. 1990). This paradigm is the basis for using biological monitoring of fish to assess environmental degradation (Karr 1987).

松驰

Elucidation and Prediction of Aquatic Ecosystems by Artificial Neuronal Networkslands, and rivers. Two modelling approaches are distinguished to achieve these aims: inductive and deductive modelling. Inductive modelling is considered to be the result of structuring, aggregation, or pattern extraction of ecological data (see Fig. 10.1). The most comon techniques available for in

催眠

jealousy

A Comparison of Artificial Neuronal Network and Conventional Statistical Techniques for Analysing En distributions in oceans (Simpson et al. 1992), grassland community changes (Tan and Smeins 1996), and in the recognition of birdsong (McIlraith and Card 1997). They are well suited to modelling complex nonlinear systems which are inherently ‘noisy,’ a characteristic that makes them suited to modell

泄露

Application of the Self-Organizing Mapping and Fuzzy Clustering to Microsatellite Data: How to Detecre less used in ecology and populations genetics, recent studies have shown that they can be very efficient for such problems (Cornuet et al. 1996; Foody 1997; Mastrorillo et al. 1997; Guégan et al. 1998). ANNs have several advantages: they can be applied to various data, from environmental variable

休息

The Macroepidemiology of Parasitic and Infectious Diseases: A Comparative Study Using Artificial Neur about 16 percent, are strictly dependent on humans for their survival (Ashford 1991; Petney and Andrews 1998).For the few West European countries providing reasonably reliable demographic data before the nineteenth century, epidemics, famines and wars are favoured as the three critical controlling