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Titlebook: Ecological Informatics; Scope, Techniques an Friedrich Recknagel Book 20062nd edition Springer-Verlag Berlin Heidelberg 2006 algorithms.art

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书目名称Ecological Informatics
副标题Scope, Techniques an
编辑Friedrich Recknagel
视频video
概述The book provides numerous applications of ecological informatics to computational techniques for ecological analysis, synthesis and forecasting
图书封面Titlebook: Ecological Informatics; Scope, Techniques an Friedrich Recknagel Book 20062nd edition Springer-Verlag Berlin Heidelberg 2006 algorithms.art
描述.Ecological Informatics promotes interdisciplinary research between ecology and computer science on elucidation of principles of information processing in ecosystems, ecological sustainability by informed decision making, and bio-inspired computation. The 2.nd. edition of the book consolidates the scope, concepts, and techniques of this newly emerging discipline by a new preface and additional chapters on cellular automata, qualitative reasoning, hybrid evolutionary algorithms and artificial neural networks. It illustrates numerous applications of Ecological Informatics for aquatic and terrestrial ecosystems, image recognition at micro- and macro-scale as well as computer hardware design..Case studies focus on applications of artificial neural networks, evolutionary computation, cellular automata, adaptive agents, fuzzy logic as well as qualitative reasoning. .The 2.nd. edition of the book includes an index with novel evolutionary algorithms for the discovery of multiple nonlinear functions and rule sets as well as parameter optimisation in complex ecological data. .
出版日期Book 20062nd edition
关键词algorithms; artificial neural network; automata; classification; ecology; ecosystem; environment; fuzzy; inf
版次2
doihttps://doi.org/10.1007/3-540-28426-5
isbn_softcover978-3-642-44677-1
isbn_ebook978-3-540-28426-0
copyrightSpringer-Verlag Berlin Heidelberg 2006
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Development and Application of Predictive River Ecosystem Models Based on Classification Trees and A
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Modelling Ecological Interrelations in Running Water Ecosystems with Artificial Neural Networks
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Non-linear Approach to Grouping, Dynamics and Organizational Informatics of Benthic Macroinvertebrat
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Ecological Applications of Qualitative Reasoningnvironmental systems. But most of all, the deployment of QR technology for ecological purposes should become an important goal in itself because, as pointed out by (Rykiel 1989), “many questions of interest in ecology can be answered in terms of ‘better or worse’, ‘more or less’, ‘sooner or later’,
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Elucidation of Hypothetical Relationships between Habitat Conditions and Macroinvertebrate Assemblageshold conditions would provide catchment and water resource managers with a powerful tool..Overall it can be concluded that ANN provide a powerful tool for stream modelling allowing the user not only to achieve highly accurate predictions but discover information on general trends in the data. Ther
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