Stem profile modeling using neural networks
2008
Radonja, P., Institute of Forestry, Belgrade (Serbia)
Stem profile modelling by neural networks, NN, by method based on the artificial intelligence is presented in this paper. The programs newff, train and sim, which are part of the program package MATLAB were used. The method of obtaining stem profile models or stem profile functions based on the use of NN, was illustrated with several examples. Since the modelling is based on the use of modified Brink's function, MBF, proved to be most suitable method until now, we compared these two methods. The size of the standard error of modelling was the base of the comparison. The data from the enclosed tables show the superiority of the modelling method based on NN.
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