In this paper based on rough sets theory and neural network a new optimizing method of supplier 's choice is put forward.
本文提出了一种基于粗集理论与神经网络相结合的供应商优化选择新方法。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
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。
The topologic structure and learning algorithm of the rough neural network are given, and the approximation theorem of the rough neural network is presented.
给出了粗糙神经网络的拓朴结构和学习算法以及粗糙神经网络的逼近定理。
Accordingly, the rough neural network algorithm in the paper has more important value and prospect of application.
由此该文探讨的粗糙神经网络算法具有较高的应用价值及应用前景。
The approximate controller gives the rough control and the neural network controller gives the complementary signal to further reduce the output tracking error.
常规控制器对系统给出粗略控制，神经网络控制器给出补偿信号来进一步减小系统输出跟踪误差。
Rough set integrated neural network method reflects the human's normal thinking mechanism which mixes the method of quantitative and qualitative, clear and uncertain, serial and parallel.
粗集和神经网络相结合反映的是人类智能的定性和定量、清晰和隐含、串行和并行相互交叉混合的常规思维机理。
This paper has studied an effective intelligent decision method based on rough set theory and neural network.
本文研究了基于粗集理论与神经网络相结合的有效智能决策方法。
According to the hierarchical principle, a classification method is presented based on the combination of rough set theory and BP neural network.
根据分层递阶的原则，提出一种将粗糙集理论与BP神经网络相结合的分类算法。
A model of rough radial basis function (RBF) neural network with attribute significance is presented.
提出一种基于属性重要性的粗糙rbf神经网络模型。
A new method of data mining based on rough set and neural network is proposed.
提出了一种基于神经网络和粗集的数据挖掘新方法。
A model of rough fuzzy neural network classifiers is proposed.
提出了一种粗糙模糊神经网络分类器的模型。
A rough neural network method is proposed to solve the problems in an information system with interval Numbers.
针对具有区间数的信息系统，提出用粗糙神经网络求解其问题的方法。
Herein, intelligence hybrid system based on rough sets and neural network for fault diagnosis is established in this paper.
并在此基础上构建了一个基于粗集一神经网络的智能混合故障诊断系统。
In allusion to the redundancy of neural network structure, a optimizing method of neural network structure based on rough sets is established.
针对神经网络的结构存在冗余的问题，提出了一种利用粗糙集优化神经网络结构的方法。
A model of rough fuzzy neural network classifier was presented by combining rough set and fuzzy neural network.
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 fault diagnosis method is presented in this paper which is based on the rough neural network and network ripping and for the complex equipment.
利用网络撕裂法逐层将复杂装备撕裂为较为简单的单元，并充分利用粗糙集和神经网络融合方法的优点进行故障诊断。
In addition, rough sets is high sensitivity to the noise in the decision table, this weakness can be counterbalance by BP neural network.
同时，粗糙集对于决策表噪声比较敏感，BP神经网络可以克服这个缺点。
Because the error transfer function of rough neural network is not differentiable, genetic algorithms are applied for training the network.
由于粗神经网络的误差传递函数不可微，所以采用遗传算法来训练粗神经网络。
One kind of integrated data mining and data fusion system's model is designed with fuzzy neural network based on rough sets.
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。
Face recognition based on rough set and neural network was proposed for the shortcoming of high dimension of PCA face recognition and low recognition rate for non-training samples.
基于粗糙集和神经网络的人脸识别方法是针对PC A方法中存在的高维数问题和它对未训练过的样本识别率低的缺点而提出的。
Investigate the rough sets theory and BP neural network algorithm, and how to combine the two that for constructing a natural fractures intelligence identification application.
研究粗糙集理论和BP神经网络算法，以及如何结合两者构建天然裂缝智能识别的应用。
On the basis of giving a new type of attribute reduction method, a coupling recognition model is established which combines Rough Sets and neural network closely.
在提出一种属性约简方法的基础上，利用粗糙集和径向基网络的优势，构建了一种耦合模型。
A new method of rough set and neural network for fan trouble diagnosis is presented.
提出了一种粗糙集理论与神经网络集成的风机故障诊断方法。
Integrating rough set theory with neural network theory, a novel information fusion method based on rough neural network is proposed. It is used in speech fusion of humanoid intelligent robots.
将粗集合理论与神经网络相结合，提出一种基于粗神经网络的新的信息融合方法，用于仿人智能机器人的语音融合。
A neural network numeral recognition method based on feature extraction and rough set feature reduction is proposed for numeral recognition of non-pointer instrument dial.
针对无指针式仪表表盘的数字识别问题，提出了一种基于特征提取和粗糙集特征约简的神经网络数字识别方法。
The example calculation indicates that the rough neural network is an efficient and feasible algorithm to forecast sloping field rain drops splash-erosion.
实例计算表明，粗糙神经网络为坡面雨滴溅蚀量预测研究提供了一种有效可行的算法。
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.
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。
This paper describes a new temporal rough neural network which consists of a combination of rough set and temporal concept.
论文提出了一种基于粗糙集和时态概念的新神经网模型—时态粗糙神经网。
A rough neural network - based approach to determining the main airways affecting the stability of airflow in mine ventilation is put forward.
提出基于粗神经网络确定影响矿内通风风流稳定性主要风路的方法。
A rough neural network - based approach to determining the main airways affecting the stability of airflow in mine ventilation is put forward.
提出基于粗神经网络确定影响矿内通风风流稳定性主要风路的方法。
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