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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Main Authors | , |
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Format | Conference Proceeding |
Language | English |
Published |
Birmensdorf (Switzerland)
Swiss Federal Institute for Forest, Snow and Landscape Research (WSL/FNP)
1996
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Subjects | |
Online Access | Get more information |
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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 |
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Bibliography: | 9600298 K10 |
ISBN: | 9783905620528 3905620529 |