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Artificial Neuronal Networks

Application to Ecology and Evolution

  • Book
  • © 2000

Overview

Editors:
  1. Sovan Lek

    1. C.E.S.A.C., U.M.R. C.N.R.S. 5576 C Bâtiment IVR3, Université Paul Sabatier Toulouse III, Toulouse cedex 04, France

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  2. Jean-François Guégan

    1. Centre d’Etudes sur le Polymorphisme des Micro-organismes C.E.P.M/U.M.R C.N.R.S.-I.R.D. 9926, ORSTOM, Montpellier cedex 01, France

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  • Unique approach of modelling methods with artificial neuronal networks
  • Practical applications in Ecology and Evolution
  • Numerous case studies

Part of the book series: Environmental Science and Engineering (ESE)

Part of the book sub series: Environmental Science (ENVSCIENCE)

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Table of contents (16 chapters)

  1. Front Matter

    Pages I-XXVI
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Neuronal Networks: Algorithms and Architectures for Ecologists and Evolutionary Ecologists

      • S. Lek, J. L. Giraudel, J. F. Guégan
      Pages 3-27

  3. Artificial Neuronal Networks in Landscape Ecology and Remote Sensing

    1. Front Matter

      Pages 29-29
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    2. Predicting Ecologically Important Vegetation Variables from Remotely Sensed Optical/Radar Data Using Neuronal Networks

      • D. S. Kimes, R. F. Nelson, S. T. Fifer
      Pages 31-44

    3. Soft Mapping of Coastal Vegetation from Remotely Sensed Imagery with a Feed-Forward Neuronal Network

      • G. M. Foody
      Pages 45-56

    4. Ultrafast Estimation of Neotropical Forest DBH Distributions from Ground Based Photographs Using a Neuronal Network

      • M. A. Dubois, L. Cournac, J. Chave, B. Riera
      Pages 57-68

    5. Normalized Difference Vegetation Index Estimation in Grasslands of Patagonia by ANN Analysis of Satellite and Climatic Data

      • F. G. Tomasel, J. M. Paruelo
      Pages 69-79

    6. On the Probabilistic Interpretation of Area Based Fuzzy Land Cover Mixing Proportions

      • J. Manslow, M. Brown, M. Nixon
      Pages 81-95

  4. Artificial Neuronal Networks in Population, Community and Ecosystem Ecology

    1. Front Matter

      Pages 97-97
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    2. Patterning of Community Changes in Benthic Macroinvertebrates Collected from Urbanized Streams for the Short Time Prediction by Temporal Artificial Neuronal Networks

      • T.-S. Chon, Y.-S. Park, E. Y. Cha
      Pages 99-114

    3. Neuronal Network Models of Phytoplankton Primary Production

      • M. Scardi
      Pages 115-129

    4. Predicting Presence of Fish Species in the Seine River Basin Using Artificial Neuronal Networks

      • P. Boët, T. Fuhs
      Pages 131-142

    5. Elucidation and Prediction of Aquatic Ecosystems by Artificial Neuronal Networks

      • F. Recknagel, H. Wilson
      Pages 143-155

    6. Performance Comparison between Regression and Neuronal Network Models for Forecasting Pacific Sardine (Sardinops caeruleus) Biomass

      • M. A. Cisneros-Mata, T. Brey, A. Jarre-Teichmann
      Pages 157-164

    7. A Comparison of Artificial Neuronal Network and Conventional Statistical Techniques for Analysing Environmental Data

      • G. R. Ball, D. Palmer-Brown, G. E. Mills
      Pages 165-183
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Keywords

About this book

In this book, an easily understandable account of modelling methods with artificial neuronal networks for practical applications in ecology and evolution is provided. Special features include examples of applications using both supervised and unsupervised training, comparative analysis of artificial neural networks and conventional statistical methods, and proposals to deal with poor datasets. Extensive references and a large range of topics make this book a useful guide for ecologists, evolutionary ecologists and population geneticists.

Editors and Affiliations

  • C.E.S.A.C., U.M.R. C.N.R.S. 5576 C Bâtiment IVR3, Université Paul Sabatier Toulouse III, Toulouse cedex 04, France

    Sovan Lek

  • Centre d’Etudes sur le Polymorphisme des Micro-organismes C.E.P.M/U.M.R C.N.R.S.-I.R.D. 9926, ORSTOM, Montpellier cedex 01, France

    Jean-François Guégan

Bibliographic Information

  • Book Title: Artificial Neuronal Networks

  • Book Subtitle: Application to Ecology and Evolution

  • Editors: Sovan Lek, Jean-François Guégan

  • Series Title: Environmental Science and Engineering

  • DOI: https://doi.org/10.1007/978-3-642-57030-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2000

  • Hardcover ISBN: 978-3-540-66921-0Published: 21 June 2000

  • Softcover ISBN: 978-3-642-63116-0Published: 21 October 2012

  • eBook ISBN: 978-3-642-57030-8Published: 06 December 2012

  • Series ISSN: 1863-5520

  • Series E-ISSN: 1863-5539

  • Edition Number: 1

  • Number of Pages: XXVI, 262

  • Number of Illustrations: 124 b/w illustrations, 1 illustrations in colour

  • Topics: Math. Appl. in Environmental Science, Ecology, Artificial Intelligence, Simulation and Modeling

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