提出采用粗糙神经网络预测坡面雨滴溅蚀量。
It is presented to predict slope splash-erosion for rain drops based on rough neural network.
该文首先引进了一类粗糙神经网络算法，研究了其性质、特点。
The paper firstly introduces a kind of algorithm based on rough neural networks and studies its properties, features.
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。
Accordingly, the rough neural network algorithm in the paper has more important value and prospect of application.
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。
A rough neural network method is proposed to solve the problems in an information system with interval Numbers.
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。
The topologic structure and learning algorithm of the rough neural network are given, and the approximation theorem of the rough neural network is presented.
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。
The example calculation indicates that the rough neural network is an efficient and feasible algorithm to forecast sloping field rain drops splash-erosion.
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.
提出了采用粗糙神经网络对膨胀土路基水毁灾害进行评价和预测的方法，并运用粗糙集理论确定了该神经网络的结构。
The method was presented to forecast the water-destroyed disaster of expansive soil roadbed by rough neural network. The structure of the neural network was confirmed by the rough set theory.
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.
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。
According to the hierarchical principle, a classification method is presented based on the combination of rough set theory and BP neural network.
提出一种基于属性重要性的粗糙rbf神经网络模型。
A model of rough radial basis function (RBF) neural network with attribute significance is presented.
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.
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。
In addition, rough sets is high sensitivity to the noise in the decision table, this weakness can be counterbalance by BP neural network.
本文的研究是从智能理论角度着手，把粗糙集理论与神经网络技术应用于我国上市公司财务预警的研究当中。
In this paper, begin with agent technology - rough set theory and ANN technology have been applied to research on financial risk.
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。
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.
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。
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.
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。
A new method of rough set and neural network for fan trouble diagnosis is presented.
建立了采用人工神经网络方法预测砂带磨削铝合金时磨削力和磨削表面粗糙度的分析模型。
An analysis model which can predict grinding force and surface roughness of aluminum alloy with abrasive belt grinding by using artificial neural networks was established.
叙述了粗糙集-神经网络系统诊断电力电子电路的过程。
The diagnosing process of rough set-neural network system is introduced.
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。
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.
本文提出了以径向基函数(RBF)神经网络处理表面粗糙度光纤传感器输出信号的方法。
A new method for processing output of surface roughness optical fibre sensor by radial basis function (RBF) neural network is presented in the paper.
提出了使用粗糙集理论优化BP神经网络模型方法，并将优化后的网络模型应用于滚动轴承的故障诊断中。
This article proposes a usage of rough collection theory by optimizing the BP nerve network model method, and will apply the optimized network model in the rolling bearing breakdown diagnosis.
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。
In allusion to the redundancy of neural network structure, a optimizing method of neural network structure based on rough sets is established.
它首先利用粗糙集理论对磨粒特征参数进行约简，这样能够大大减少了神经网络的输入维数。
At first, debris feature parameters are simplified based on rough sets theory, and the input information-dimensions is reduced.
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.
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。
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。
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.
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