Titlebook: Ecological Informatics; Understanding Ecolog Friedrich Recknagel Book 20031st edition Springer-Verlag Berlin Heidelberg 2003 Artificial Int

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https://doi.org/10.1007/978-1-349-16482-0ex phenomena. They have been used in aquatic ecology (e.g. Recknagel, 1997; Brosse et al., 1999), medicine, linguistics, and social sciences (Bullinaria 1997; Blom et al. 1999; Carson et al. 1999; Young et al. 2000).

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https://doi.org/10.1007/978-1-349-01792-8elected only serves to complicate the design process. In most practical circumstances, the design of an ANN is heavily based on heuristic trial-and-error processes with only broad rules of thumb to guide along the way.

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recognition at micro and macro scale. Case studies focus on applications of artificial neural networks, genetic algorithms, fuzzy logic and adaptive agents to current ecological management issues such as toxic algal blooms, eutrophication, habitat degradation, conservation of biodiversity and sustainable fishery978-3-662-05150-4

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Chandana Ghosh,Ambar Nath Ghoshting the effect of potential management options and thus supporting decision-making. The development of effective and efficient monitoring networks based on models is probably another important advantage.

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Development and Application of Predictive River Ecosystem Models Based on Classification Trees and Ating the effect of potential management options and thus supporting decision-making. The development of effective and efficient monitoring networks based on models is probably another important advantage.

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analysis, synthesis and forecastingEcological Informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management. The book provides an introduction to the scope, concepts and techniques of this newly emerging discipline. I

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Design of Simple Logic Systems, Some conventional methods need prior knowledge of the number or of the size of the clusters. On the other hand, particular shapes of the clusters may lead to erroneous conclusions. The results are commonly displayed on dendrograms becoming hard to interpret for huge datasets.

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Money, Finance and Fundraising,nutrients. Blooms of blue-green algae can contaminate freshwater by toxins, anoxia, taste and odour causing high treatment costs in water works, risks for public health and degradation of freshwater ecosystems.

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