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Computational ecology : artificial neural networks and their applications /

Due to the complexity and non-linearity of most ecological problems, artificial neural networks (ANNs) have attracted attention from ecologists and environmental scientists in recent years. As these networks are increasingly being used in ecology for modeling, simulation, function approximation, pre...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Zhang, Wenjun
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore ; Hackensack, NJ ; London : World Scientific, ©2010.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Due to the complexity and non-linearity of most ecological problems, artificial neural networks (ANNs) have attracted attention from ecologists and environmental scientists in recent years. As these networks are increasingly being used in ecology for modeling, simulation, function approximation, prediction, classification and data mining, this unique and self-contained book will be the first comprehensive treatment of this subject, by providing readers with overall and in-depth knowledge on algorithms, programs, and applications of ANNs in ecology. Moreover, a new area of ecology, i.e., computational ecology, is proposed and its scopes and objectives are defined and discussed. Computational Ecology consists of two parts : the first describes the methods and algorithms of ANNs, interpretability and mathematical generalization of neural networks, Matlab neural network toolkit, etc., while the second provides case studies of applications of ANNs in ecology, Matlab codes, and comparisons of ANNs with conventional methods. This publication will be a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of ecology, environmental sciences, and computational science.
Descripción Física:1 online resource (xiii, 296 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9789814282635
9814282634
1283143852
9781283143851