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SOM神经网络的数据分类--柴油机故障诊断-SOM neural network data classification- Diesel Engine Fault Diagnosis
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SOM神经网络的数据分类--柴油机故障诊断,通过bp神经网络的训练和查看分类，可以查看每个神经元的分类情况-SOM neural network data classification- diesel engine fault diagnosis, bp neural network training and view categories, you can view the classification of each neuron
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概率神经网络的分类预测--基于PNN的变压器故障诊断，了解神经网络在实践中的作用-Classification prediction of the probabilistic neural network- PNN-based transformer fault diagnosis, understanding the role of neural networks in practice
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BP神经网络用于故障诊断的例子，内有代码和说明，可以对照注释学习-BP neural network for fault diagnosis example code and instructions can control annotation learning
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针对变压器的故障诊断，通过概率神经网络对其进行分类。运行程序后，网络输出值和实际值非常接近，很好的实现了对变压器的故障分类。-For the transformer fault diagnosis, we use the probability neural network to classify it. After running the program, the network output value and the actual value is very close, which ac
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pso优化rbf结果,详细的看里面的说明哦！有一个说明文件-pso-rbf neural network fault diagnosis procedures for other members to download if you upload a source code, your number will be available to download increased 1
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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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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-The data classification of SOM neural network, diesel engine fault diagnosis
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这是一篇关于MATLAB进行BP神经网络故障诊断的代码，完全手写，仅用于参考-This is an article on BP neural network fault diagnosis in MATLAB code, completely written only for reference
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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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避免了传统BP神经网络算法的局部最小值问题，研究结果表明该方法能获得较高诊断准确率，具有可行性- The method of diagnosis fault based on PSO-H-BP neural network for high voltage circuit breakers is more accurate and feasible compared with traditional BP neural network
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matlab神经网络与实例精解 基于概率神经网络的柴油机故障诊断(Diesel Engine Fault Diagnosis Based on Probabilistic Neural Network)
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针对齿轮箱故障诊断的问题，提出了一种基于BP神经网络和DS 证据理论的不确定性信息融合方法。(In order to realize a stable and effective gearbox fault diagnosis system, an uncertain information fusion method based on BP neural network and modified DS evidence
theory is proposed.)
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BP神经网络，支持向量机等用于风机故障诊断(BP Neural Network and support Vector Machine for Fan Fault diagnosis)
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卷积神经网络，用于故障诊断，取得很好的识别效果(Convolution neural network is used for fault diagnosis and achieves good recognition results.)
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概率神经网络故障诊断的实例，一个简单的应用，亲测有效，可以完美运行，适合初学者，(An example of probabilistic neural network fault diagnosis, a simple application, pro-test is effective, can run perfectly, suitable for beginners,)
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