Research on the Method of Neural Network Modeling Based on Rough Sets Theory
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摘要: 提出了一种基于粗糙集的神经网络模型,该方法利用粗糙集数据分析方法,从数据中 提取出规则将输入映射到输出的子空间上,而后在这个子空间上用神经网络进行逼近.利用这 种方法对岩石边坡工程中边坡稳定性进行分析建模,并和传统的神经网络建模方法进行比较, 说明了该方法的有效性.Abstract: This paper proposes a new neural network model based on rough sets. The input to the model is mapped into the output subspaces by using rules acquired from rough sets, then the output of the system is approximated by neural network in the subspaces. The method is applied to analysis of the stability of the rock slope. Simulation results show this method is superior to the traditional neural network model.
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Key words:
- Rough sets /
- artifical neural network /
- rough set data analysis
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