Artificial neuronal networks : application to ecology and evolution /

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Bibliographic Details
Imprint:Berlin ; New York : Springer, c2000.
Description:xxvi, 262 p. : ill. ; 25 cm.
Language:English
Series:Environmental science
Environmental science (Berlin, Germany)
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/4321743
Hidden Bibliographic Details
Other authors / contributors:Lek, Sovan, 1952-
Guégan, Jean-François.
ISBN:3540669213 (alk. paper)
Notes:Includes bibliographical references and index.

MARC

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245 0 0 |a Artificial neuronal networks :  |b application to ecology and evolution /  |c Sovan Lek, Jean-François Guégan [eds]. 
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300 |a xxvi, 262 p. :  |b ill. ;  |c 25 cm. 
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504 |a Includes bibliographical references and index. 
505 0 0 |g Pt. I.  |t Introduction.  |g 1.  |t Neuronal Networks: Algorithms and Architectures for Ecologists and Evolutionary Ecologists --  |g Pt. II.  |t Artificial Neuronal Networks in Landscape Ecology and Remote Sensing.  |g 2.  |t Predicting Ecologically Important Vegetation Variables from Remotely Sensed Optical/Radar Data Using Neuronal Networks.  |g 3.  |t Soft Mapping of Coastal Vegetation from Remotely Sensed Imagery with a Feed-Forward Neuronal Network.  |g 4.  |t Ultrafast Estimation of Neotropical Forest DBH Distributions from Ground Based Photographs Using a Neuronal Network.  |g 5.  |t Normalized Difference Vegetation Index Estimation in Grasslands of Patagonia by ANN Analysis of Satellite and Climatic Data.  |g 6.  |t On the Probabilistic Interpretation of Area Based Fuzzy Land Cover Mixing Proportions --  |g Pt. III.  |t Artificial Neuronal Networks in Population, Community and Ecosystem Ecology.  |g 7.  |t Patterning of Community Changes in Benthic Macroinvertebrates Collected from Urbanized Streams for the Short Time Prediction by Temporal Artificial Neuronal Networks.  |g 8.  |t Neuronal Network Models of Phytoplankton Primary Production.  |g 9.  |t Predicting Presence of Fish Species in the Seine River Basin Using Artificial Neuronal Networks.  |g 10.  |t Elucidation and Prediction of Aquatic Ecosystems by Artificial Neuronal Networks.  |g 11.  |t Performance Comparison between Regression and Neuronal Network Models for Forecasting Pacific Sardine (Sardinops caeruleus) Biomass.  |g 12.  |t A Comparison of Artificial Neuronal Network and Conventional Statistical Techniques for Analyzing Environmental Data --  |g Pt. IV.  |t Artificial Neuronal Networks in Genetics and Evolutionary Ecology.  |g 13.  |t Application of the Self-Organizing Mapping and Fuzzy Clustering to Microsatellite Data: How to Detect Genetic Structure in Brown Trout (Salmo trutta) Populations.  |g 14.  |t The Macroepidemiology of Parasitic and Infectious Diseases: A Comparative Study Using Artificial Neuronal Nets and Logistic Regressions.  |g 15.  |t Evolutionarily Optimal Networks for Controlling Energy Allocation to Growth, Reproduction and Repair in Men and Women --  |g Pt. V.  |t Perspectives.  |g 16.  |t Can Neuronal Networks be Used in Data-Poor Situations? 
650 0 |a Ecology  |x Computer simulation. 
650 0 |a Evolution (Biology)  |x Computer simulation. 
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700 1 |a Guégan, Jean-François.  |0 http://id.loc.gov/authorities/names/n96119935  |1 http://viaf.org/viaf/66750949 
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