Application of ANN Algorithm in Tree Height Modeling

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Back-propagation (BP) algorithm of artificial neural network (ANN) was applied to tree height prediction of Larch plantation in northeast China by taking logsigmoid function of logsig and linear function of purelin in Matlab as the neural functions. One input variable of tree diameter and one output variable of tree height was used in the model with one hidden layer of 5 hidden neurons. Model developed was evaluated graphically and statistically. Results showed that model performs well with mean square error (MSE) of 0.130901 and model precision of 97.6%. The graphical comparisons between the actual measured data and the network predicted output clearly demonstrate very good agreement between the actual and predicted performance.

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Periodical:

Edited by:

Qi Luo

Pages:

756-761

DOI:

10.4028/www.scientific.net/AMM.20-23.756

Citation:

Y. X. Li and L. C. Jiang, "Application of ANN Algorithm in Tree Height Modeling", Applied Mechanics and Materials, Vols. 20-23, pp. 756-761, 2010

Online since:

January 2010

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Price:

$38.00

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