搜索资源列表
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bp网络训练源代码,可用于参数识别,模式分类,如损伤识别,故障诊断等-bp network training, the source code can be used for parameter identification, pattern classification, such as damage detection, fault diagnosis, etc.
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基于MATLAB的K均值分类算法的源程序,用于诊断变压器故障,MATLAB-based K-means classification algorithm of the source code for transformer fault diagnosis
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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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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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一次分类支持向量机程序，可用于故障诊断中，对故障进行分类识别-A support vector machine classification procedures can be used for fault diagnosis, classification and identification of faults
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INTERNAL FACULT CLASSIFICATION OF TRANSFORMER WINDING ..WITH BASEPAPER AND CODING ....ENJOY IT
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用来进行支持向量机数据分类和特征提取。可用于机械故障诊断领域-Used for support vector machine classification and feature extraction. Can be used in the field of mechanical fault diagnosis
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神经网络的数据分类--柴油机故障诊断chap.m为SOM神经网络程序
addon.m为距离函数和拓扑函数示例。-Neural network data classification- diesel engine fault diagnosis
Chap. M for SOM neural network program
Addon. M for distance function and topological function example.
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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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利用bp网络实现三个分类算法，对于故障诊断策略有所帮助。-Use of network bp achieve three classification algorithms, fault diagnosis strategy for help.
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自编的matlab KFDA程序，核费舍尔判别分析。用于TE过程的故障分类，其中包含正常数据以及故障9和故障11。包含了如何进行核训练，故障的分类等。-Directed the matlab KFDA program, nuclear Fisher discriminant analysis. TE for fault classification process, which includes normal and fault data and fault 9 11. Training inc
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SVM工具箱，matlab环境下进行故障特征值分类识别的有效工具-SVM toolbox, effective tool for fault classification were eigenvalues matlab environment
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progamme to detect fault with neural network
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实现电路的不同故障模式进行分类，极限学习机(Different fault modes of the circuit are classified and the limit learning machine is implemented)
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用于电力系统故障分类，选线的的程序，功能非常的强大(For power system fault classification, line selection procedures, function is very powerful)
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模糊聚类识别算法，可以用于机械故障诊断中的故障分类(Fuzzy clustering recognition algorithm can be used in fault classification of mechanical fault diagnosis)
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fault classification system
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能够实现对实验数据的降维，为故障分类做准备(It can reduce the dimension of experimental data and prepare for fault classification)
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