Estudo do impacto do ecoturismo na ictiofauna do Rio Sucuri (Bonito, MS, Brasil), utilizando as espécies de peixes Crenicichia lepidota (Heckel, 1840) e Moenkhausia bonita (Benine et al., 2004) como indicadores

Dissertação mest., Biologia Marinha, Universidade do Algarve, 2007

Predicting the greenhouse inside air temperature with RBF neural networks

The application of the Radial Basis Function (RBF) Neural Network (NN) to greenhouse inside air temperature modelling has been previously investigated (Ferreira et al., 2000a). In those studies, the inside air temperature is modelled as a function of the inside relative humidity and of the outside temperature and solar radiation. A second-order model structure previously selected (Cunha et al., 1996) in the context of dynamic temperature models identification, is used.

Microalgae taxonomy and breeding

Microalgae are a diverse group of organisms that form the basic component of many eco­- systems. The systemic classification of algae is primarily based on their pigment composition and is divided into nine classes. The largest groups are Chlorophyceae (green algae), Phaeophyceae (brown algae), Pyrrophyceae (dinoflagellates), Chrysophyceae (golden brown algae), Bacillariophyceae (diatoms) and Rhodo­ phyceae (red algae). It has been estimated that between 22,000 and 26,000 species exist (Norton et al., 1996), of which only a few species have been identified to be useful for commercial application, such as Spirulina, Chlorella, Haematococcus, Dunaliella, Botryococcus, Phaeodactylum and Porphyridium. Several other species that are also cultivated commercially for the hatcheries in the aquaculture field include Chaetoceros, Crypthecodinium, Isochrysis, Nannochloris, Nitzschia, Schizo­chytrium, Tetraselmis and Skeletonema (Raja et al., 2008).