Abstract
The Analytic Hierarchy Process was used to identify the evaluation criteria of near-view scenic beauty in artificial hinoki (Chamaecyparis obtusa S. et Z.) forests. A multiple-regression model and a neural-network model were developed to predict near-view scenic beauty with the physical features of forests in this paper. With the multiple-regression model as the benchmark, the neural-network model using genetic algorithms performed better in scenic beauty prediction with respect to the predictive capability and the predictive residuals.
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Liao, W., Nogami, K. Prediction of near-view scenic beauty in artificial stands of hinoki (Chamaecyparis obtusa S. et Z.). J For Res 4, 93–98 (1999). https://doi.org/10.1007/BF02762232
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DOI: https://doi.org/10.1007/BF02762232