Nonindustrial private forest landowner's choice of timber management strategy: predicting the cutting level with genetic algorithm

In this study a set of rules is generated to predict the nonindustrial private forest landowners' choices of the preferred management strategies with the variables describing the characteristics of the landowners and their forest holdings. The rules are induced from the database by applying a g...

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Bibliographic Details
Main Authors Pesonen, M, Kettunen, A. (The Finnish Forest Research Institute, Vantaa (Finland))
Format Conference Proceeding
LanguageEnglish
Published Birmensdorf (Switzerland) Swiss Federal Institute for Forest, Snow and Landscape Research (WSL/FNP) 1996
Subjects
AMENAGEMENT FORESTIER
ANALISIS ESTADISTICO
ANALYSE STATISTIQUE
CICLO DE CORTA
ORDENACION FORESTAL
PROPIEDAD PRIVADA
PROPIETARIOS RURALES
PROPRIETAIRE FONCIER
PROPRIETE PRIVEE
ROTATION DE COUPE
TECHNIQUE DE PREVISION
TECNICAS DE PREDICCION
TERRAIN FORESTIER
TIERRAS FORESTALES
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Summary:In this study a set of rules is generated to predict the nonindustrial private forest landowners' choices of the preferred management strategies with the variables describing the characteristics of the landowners and their forest holdings. The rules are induced from the database by applying a genetic-based learning algorithm. The fitness of the rules is tested with the general linear regression analysis using the same data
Bibliography:9600298
K10
ISBN:9783905620528
3905620529