基于粗糙集和人工神经网络的森林工业综合评价

2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI:10.1109/CINC.2010.5643735

Xuechun Yang, Xiangnan Zhang, Qixing Wu

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引用次数: 0

摘要

科学、合理地对林业进行评价，有助于改善林业经营理念，稳定木制品供应市场。对林业行业进行了简要分析，确定了林业企业的10项评价指标。基于粗糙集和BP神经网络的森林工业评价模型，通过粗糙集理论对评价指标进行属性约简，将评价后的指标输入到BP神经网络中进行样本训练预测，使预测结果与实际结果相符。

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Comprehensive evaluation of forest industries based on rough sets and artificial neural network

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.

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来源期刊

2010 Second International Conference on Computational Intelligence and Natural Computing

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