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故障诊断 基于BP神经网络的故障诊断系统 1生成BP网络2.训练和自适应调整-Fault diagnosis based on BP neural network fault diagnosis system for a generation of BP network 2. Training and adaptive adjustment
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rbf神经网络用于分类识别，故障诊断，模式识别，自己编写的-rbf neural network for classification and recognition, fault diagnosis, pattern recognition, have written
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RBFNN based technique is tested for faults with wide range of operating conditions and provides accurate results for fault classification
and location determination, respectively.-Distance relaying for transmission line using support vector machine
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RBFNN single phase fault classification
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Soure for fault classification using machine intelligence technique
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计算故障分类的每个属性的信息熵，选取最大的作为根节点-For fault classification information entropy of each attribute, select the largest as the root
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使用MATLAB编程 实现了基于BP神经网络的故障分类功能 -Using the MATLAB programming based on BP neural network fault classification function
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pnn神经网络算法，通过训练后，可实现对电力变压器故障的分类-pnn neural network algorithm, by training, can be realized on the power transformer fault classification
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fault classification of EHV transmission lines based wavelet in matlab langue.
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为了对目标进行快速的检测，提出了一种新的基于支持向量机的级联式分类器的构造方法。该级联分类器由若干个线性SVM弱分类器构成，结构简单，分类时间极快。针对级联结构中的每个节点的训练给出了一个新的SVM框架下的二次规划模型，这使得每个节点都有较高的正样本检测率和适当的负样本错检率。-In order to quickly detect the target, a new cascade based on support vector machine classifier constructor. T
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Matlab中SOM神经网络的数据分类--柴油机故障诊断-SOM neural network in Matlab data classification- Diesel Engine Fault Diagnosis
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A fault identification with fuzzy C-Mean clustering
algorithm based on improved ant colony algorithm (ACA) is
presented to avoid local optimization in iterative process of
fuzzy C-Mean (FCM) clustering algorithm and the difficulty in
fault cl
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采用matlab的神经网络工具箱对故障进行分类-Matlab neural network toolbox used for fault classification
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神经网络案例：SOM神经网络的数据分类--柴油机故障诊断-Neural network case: SOM neural network data classification- Diesel Engine Fault Diagnosis
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陆振波——支持向量机方法——故障分类程序-Lu Zhenbo- support vector machines- Fault classification procedures
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人工智能——神经网络——故障诊断分类程序-Artificial intelligence- neural networks- Fault diagnostic classification procedures
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INTERNAL FACULT CLASSIFICATION OF TRANSFORMER WINDING ..WITH BASEPAPER AND CODING ....ENJOY IT
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Coupling pairwise support vector machines for fault classification
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BP神经网络，支持向量机等用于风机故障诊断，实现故障故障分类，附带数据-BP neural networks, support vector machine for fan fault diagnosis, failure fault classification, with data
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一种基于小波支持向量机和粒子群算法的多故障诊断技术。-Multi-fault classification based on wavelet SVM with PSO algorithm
to analyze vibration signals from rolling element bearings
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