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改进版的bp神经网络算法编程（pso）,通过调权改善神经网络的收敛特性，用于精度预测，模式识别，故障诊断。-Improved version of bp neural network algorithm programming (pso), by adjusting the right to improve the convergence properties of neural networks for the accuracy of prediction, pattern recogniti
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通过小波进行分解、滤波、重构后作为BP神经网络的输入，以此提高BP神经网络的计算精度，用于故障诊断中的模式识别-Through the wavelet decomposition, filtering, reconstructed as BP neural network input, in order to improve the calculation accuracy of BP neural network for fault diagnosis pattern recognition
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一种新的基于遗传算法的模糊C-均值聚类的RBF神经网络-A New RBF Neural Network with GA-based Fuzzy C-Means Clustering Algorithm for SINS Fault Diagnosis
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概率神经网络的分类预测-基于PNN变压器故障诊断-Probabilistic neural network classification and prediction- PNN transformer fault diagnosis based on
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粒子群算法优化神经网络的参数，应用到故障诊断的应用中去-Parameters particle swarm optimization neural network is applied to fault diagnosis of the application to
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BP神经网络 用于故障诊断
matlab m文件-BP neural network for fault diagnosis
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基于PCA-BP神经网络的接地网故障诊断算法-Ground Fault diagnosis algorithm PCA-BP neural network
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滚动轴承多部位多类别故障诊断属于大规模或者较复杂分类问题，利用智能方法诊断时需
要设计结构合理的神经网络才能实现高精度诊断 -Rolling multi-site multi-class fault diagnosis are more complex or large-scale classification problems, the need for the rational design of neural network structure in order to achieve
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基于PNN变压器故障诊断概率神经网络预测源码,可作为学习参考-PNN transformer fault diagnosis based on probabilistic neural network prediction source, can be used as a reference to learn
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基于BP神经网络的往复泵轴承故障诊断，自己数据检验可用，希望对大家有所帮助
-Reciprocating pump bearing fault diagnosis based on BP neural network
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故障诊断程序，齿轮故障诊断，这里的神经网络可以根据需要选择，也可以都选择进行比较，方便写学术论文。-Troubleshooting procedures, gear fault diagnosis, where the neural network can be selected according to, you can also choose to compare, easy to write academic papers.
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本文将SOM（自组织特征映射）和PNN（概率）神经网络应用到柴油机故障诊断中，首先介绍了SOM和PNN神经网络的算法，然后对柴油机的故障进行了分析，并运用matlab进行了仿真，验证了实验结果。-This article will SOM (self-organizing feature map) and PNN (probability) neural network is applied to fault diagnosis of diesel engine, first introduce
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SOM神经网络的数据分类，柴油机故障诊断。
addon.m为距离函数和拓扑函数示例-SOM neural network data classification, diesel engine fault diagnosis.addon.m is an example of the distance function and TOPOLOGY ON FUNCTION
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提出改进型的节点重构小波包频带能量谱与 PNN（概率神经网络）的联合故障诊断新方法。 有具体的数据和程序，经过本人验证的，程序有效！效果很好！-Joint fault diagnosis node propose a new method for the reconstruction of improved wavelet packet energy spectrum band and PNN (probabilistic neural network). Specific data and p
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利用MATLAB概率神经网络，实现柴油机故障诊断分类问题的解决。-请键入文字或网站地址，或者上传文档。
Using MATLAB probabilistic neural network, solve the problem of diesel engine fault diagnosis classification.
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基于BP神经网络的预测及故障诊断，并且与RBF神经网络算法进行对比-Prediction and fault diagnosis based on BP neural network and RBF neural network algorithm and compare
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SOM神经网络的数据分类 柴油机故障诊断-Data classification SOM neural network- Engine Fault Diagnosis
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基于概率神经网络的柴油机故障诊断，matalb实现，非常有价值-Fault diagnosis, probabilistic neural network based on MATALB diesel engine, very valuable
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主要针对级联式变频器故障特征比较难提取，运用小波分析提取故障特征，然后用粒子群优化神经网络进行故障诊断-Mainly for the cascading inverter and difficult to extract the fault features, using wavelet analysis to extract the fault feature, and then use particle swarm optimization neural network for fault
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利用粒子群算法对小波神经网络进行优化，从而提高其故障诊断的准确性。-Using particle swarm algorithm of wavelet neural network is optimized, so as to improve the accuracy of the fault diagnosis.
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