搜索资源列表
trazseer
- 基于BP神经网络的电机转子故障诊断的研究,采用trainbpx训练函数,()
2485296PSO-bp-MATLAB
- 多层感知机能够学习并预测神经网络结构等，对故障程度进行预测(The multilayer perceptron can learn and predict the neural network structure and so on, to predict the degree of failure.)
gezhongLVQpk
- LVQ神经网络，以及思维进化的LVQ，以及改进LVQ网络，通过修改数据可使用，对故障特征量进行分类(The LVQ neural network, as well as the thought evolution LVQ, and the improved LVQ network, can be used to classify the fault features by modifying the data.)
PID神经元网络解耦控制算法——多变量系统控制
- 概率神经网络的分类预测--基于PNN的变压器故障诊断，matlab(Classification and prediction of probabilistic neural network -- transformer fault diagnosis based on PNN)
齿轮箱BP
- 运用BP神经网络对齿轮箱故障进行分类，能很好地对故障分类。(Classification of gearbox faults using BP neural network)
CNN实现道路特征提取
- 采用CNN神经网络道路特征提取和故障诊断(Road feature extraction and Fault diagnosis based on CNN Neural Network)
Cnn_train_rollingball
- 卷积神经网络实现CWRU滚动轴承数据集故障分类(Fault classification of volume and network)