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1下载：
（压缩包里一共有5个代码）
pca+lda+粗糙集+模糊神经网络
saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat
1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat
2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
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本文提出一种粗糙集理论和动态前馈神经网络相结合的神经网络构造方法。充分发挥了粗糙集理论和神经网络的优势，弥补了各自的缺点。并应用于实际工业过程，在乙烯装置裂解炉燃料气热值控制中取得了良好的应用效果。-This paper presents a rough set theory and dynamic feedforward neural networks combined neural network constructed. Give full play to the rough set th
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一种适用于模式分类的模糊粗隶属函数神经网络-One for pattern classification of fuzzy-rough membership function neural network
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粗糙集神经网络的旋转机械故障诊断Based on rough set and neural network fault diagnosis of rotating machinery-Based on rough set and neural network fault diagnosis of rotating machinery
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基于粗糙神经网络的航空电子设备故障预测研究-Based on rough neural network prediction of avionics equipment failure
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粗糙集神经网络燃煤发热量预测模型Rough set neural network prediction model coal-fired heat-Rough set neural network prediction model coal-fired heat
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粗糙_神经网络逆模补偿的发电机励磁复合控制Rough _ neural network inverse model compensation generator excitation control-Rough _ neural network inverse model compensation generator excitation control
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粗糙_神经网络逆模补偿的发电机励磁复合控制Rough _ neural network inverse model compensation generator excitation control-Rough _ neural network inverse model compensation generator excitation control
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基于粗糙集的模糊神经网络控制器的研究Based on rough fuzzy neural network controller based on-Based on rough fuzzy neural network controller based on
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matlab粗糙集算法，主要使用于神经网络和支持向量机等算法的预处理，可以有效地筛选数据-matlab rough set algorithm, mainly used in the pre-processing of the neural network and support vector machine algorithm can effectively filter the data
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It is a powerpoint for presenting the neural network which is related and implemented with rough set and fuzzy system
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机器学习领域经典分类算法综述，包括Decision Tree（ＩＤ３、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法），三种典型贝叶斯分类器（朴素贝叶斯算法、TAN算法、贝叶斯网络分类器），k-近邻 、 基于数据库技术的分类算法（ MIND算法、GAC-RDB算法），基于关联规则（CBA:Classification Based on Association Rule）的分类（Apriori算法），支持向量机分类，基于软计算的分类方法（粗糙集（rough set）、遗传
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构造人脸数据库，利用粗糙集进行属性约减，最后利用神经网络就行分类-Construct face , using rough sets attribute reduction , and finally the use of neural network to classify
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粗糙集理论改进的RBF神经网络，适用性比较强，对RBF的优化有一定的作用-Rough set theory improved RBF neural network, strong applicability of optimization RBF has a certain role
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rosetta软件，用于系统故障诊断粗糙集属性约简，由21个参数减少到4个参数，有利于训练神经网络。-rosetta software for system troubleshooting rough set attribute reduction, 21 parameters reduced to four parameters, help train the neural network.
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基于SOM神经网络的故障诊断，比较粗略，有待改善~-Based on SOM neural network fault diagnosis, more rough, yet to be improved
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