Machine learning methods for ecological applications
By: edited by Alan H. Fielding.
Contributors: Fielding, Alan.
Publisher: Kluwer Academic Publishers; Springer
Published: 1999
Place of publication: Boston
Language: eng
Number of pages: 261
Subjects: Ecology; Machine learning
Description: "This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one chapter have been written by ecologists and biologists who highlight the application of a particular method to a particular class of problem. Examples include the identification of species, optimal mate choice, predicting species distributions and modelling landscape features.

A group of experienced machine learning workers, who have become interested in environmental problems, have written a chapter that demonstrates how machine learning methods can be used to discover equations that describe the dynamic behaviour of ecological systems. The final chapter reviews 'real learning', offering the potential for greater dialogue between the biological and machine learning communities."--BOOK JACKET.
Notes: Includes bibliographical references and indexes.