Title :
Comprehensive evaluation of forest industries based on rough sets and artificial neural network
Author :
Yang, Xuechun ; Zhang, Xiangnan ; Wu, Qixing
Author_Institution :
Northeast Forestry Univ., Harbin, China
Abstract :
Scientific and rational assessment of forest industries will help to improve forest management concept and to stabilize supply market of wood products. The forest industries are briefly analyzed to determine 10 evaluation indexes of forestry enterprises. Based on rough sets and BP neural network evaluation model of forest industries, through rough sets theory to evaluating targets for attribute reduction, indicators after the evaluation input to the BP neural network is trained by sample prediction, the prediction results to be in conformity with actual results.
Keywords :
backpropagation; forestry; neural nets; rough set theory; wood products; artificial neural network; backpropagation neural network; forest industry; forest management concept; rough sets theory; wood products; Economics; MATLAB; Silicon; artificial neural network; comprehensive evaluation; forest industries; rough set;
Conference_Titel :
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7705-0
DOI :
10.1109/CINC.2010.5643735
