利用粗糙集理论进行规则提取后，将规则结果融入神经网络中，从而构造了一种强耦合多层模糊粗糙神经网络。
After the rules were obtained based on rough set theory, the rules were embedded in the neural network, so that a kind of strong coupling multi-layer neural network was constructed.
针对民用机场多因素气象预测问题的复杂性，该文构建出一种基于粗糙集的模糊神经网络模型。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
提出了一种粗糙模糊神经网络分类器的模型。
A model of rough fuzzy neural network classifiers is proposed.
详细介绍了数据挖掘技术的常用方法，包括模糊理论、粗糙集理论、云理论、证据理论、人工神经网络、遗传算法以及归纳学习。
Mostly used methods are introduced in detail, including fuzzy method, rough sets theory, cloud theory, evidence theory, artificial neural networks, genetic algorithms and induction learning.
设计了一种基于粗糙集——模糊神经网络技术的数据挖掘与数据融合集成系统。
One kind of integrated data mining and data fusion system's model is designed with fuzzy neural network based on rough sets.
结合粗糙集和模糊神经网络提出了一种粗糙模糊神经网络识别器的模型。
A model of rough fuzzy neural network classifier was presented by combining rough set and fuzzy neural network.
本文建立了基于模糊粗糙集的神经网络预测模型，对瓦斯涌出量进行了预测。
A novel artificial network model based on fuzzy-rough set for gas emission forecasting of coal is proposed in the paper.
本文建立了基于模糊粗糙集的神经网络预测模型，对瓦斯涌出量进行了预测。
A novel artificial network model based on fuzzy-rough set for gas emission forecasting of coal is proposed in the paper.
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