搜索资源列表
Elman
- MATLAB程序编写的神经网络ELMAN算法,实现故障模式识别-MATLAB programming Elman neural network algorithm, the fault pattern recognition
bpnetworkdown
- MATLAB实现BP神经网络故障模式识别的示例-MATLAB BP neural network fault examples of pattern recognition
RBFxunlian
- rbf训练用于模式识别,分类,故障类别的诊断,收敛快-rbf training for pattern recognition, classification, fault type of diagnosis, fast convergence
mianyisuanfa
- 人工免疫算法人工神经网络基于轴承的模式识别matlab故障诊断-Artificial immune algorithm based on artificial neural network pattern recognition matlab bearing fault diagnosis
GAbp
- 遗传神经网络的模式识别算法,可以用于设备的故障诊断-Genetic neural network pattern recognition algorithm, can be used for equipment fault diagnosis
rbf
- rbf神经网络用于机械故障的诊断,模式识别,分类等-rbf neural networks for machine fault diagnosis, pattern recognition, classification, etc.
fenlei
- 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
Classify_Homework
- 可以用于函数聚类,以及模式识别和故障诊断的程序,简单实用,有运行结果,准确率高-Clustering can be used for functions, as well as pattern recognition and fault diagnosis procedures, simple and practical, with the results, with high accuracy,
SVM
- SVM模式识别技术及在机械故障诊断中的应用进展-SVM pattern recognition technology and in Mechanical Fault Diagnosis of progress
yiqunsuanfa
- 蚁群算法,用于进行聚类分析,或者进行故障模式识别-ACO
C_AntClusterKnown
- 蚁群聚类分析,用于进行故障模式识别或者数据挖掘-ACA
222238ais
- 人工免疫算法 故障诊断方面的模式识别源代码-Artificial immune algorithm Diagnosis
immune
- 人工免疫算法的模式识别,用于故障诊断 -Pattern Recognition Artificial immune algorithm for fault diagnosis
BP-gearbox-fault-2
- 基于BP神经网络的齿轮箱故障模式识别:以双谱分析为基础,对分析的结果进行特征提取,提出了双谱一BP网络故障诊断方法,并以双谱为BP神经网络的输入特征向量,对所提出的方法进行了实验研究,结果表明所提出的双谱-BP诊断方法是判断齿轮葙故障类型的一种有效方法。-BP,gearbox fault diagnosis
基于核函数主元分析的机械故障诊断方法
- 提出基于核函数主元分析的机械故障诊断方法, 它保留主元分析的优点并具有处理非线性的能力。该方法通过核函数映射将非线性问题转换成高维的线性特征空间, 然后对高维空间中的映射数据作主元分析,提取其非线性特征, 对机械故障模式进行识别。并与主元分析方法进行对比分析, 实验结果表明核函数主元分析法非常有效。-Proposed mechanical fault diagnosis method based on Kernel Principal Component Analysis, it retains
ANN
- 本matlab程序的功能是利用人工神经网进行故障模式识别-Fault recognition using ANN
xieboxiaoboandBP
- 谐波小波结合神经网络在故障模式识别中的应用-Harmonic wavelet combined neural network in fault mode Recognition
KNNC
- 提出基于优化K-最近邻域分类器(K-Nearest Neighbor Classifier,KNNC)的轴承故障模式识别方-proposed K-Nearest Neighbor Classifier(KNNC), diagnosing method
模式识别应用于故障诊断
- 将模式识别和机械中的故障诊断结合。结合实例和程序,验证出方法的有效性,内附文档和代码,运行无错误。(Combining pattern recognition with fault diagnosis in machinery.The effectiveness of the method is verified by examples and programs.The artical is attached code and can be run without error.)
神经网络与模式识别_丁铖_2017140818
- bp神经网络,用于风力发电机的故障分类,可用于二分类和多分类,已经线性回归和非线性回归(Bp neural network for fault classification of wind turbines, can be used for two-class and multi-classification, has linear regression and nonlinear regression)