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
ruanjianzhiliangbaozhengyuceshi
- 一些关于软件质量保证与测试的资料，内容有并发故障模式，软件测试基础，报告所发现的缺陷，路径分析等-Some about software quality assurance and testing information, concurrent failure mode, software testing foundation, the report found deficiencies in the path analysis
fault_model_library
- 基于spice语言规范自己写的三极管故障模型文件，每个各包含4种故障模式，可以直接在SPICE下仿真通过，也可作为故障注入试验用。-Writing language specification based on the spice of transistor fault model in which each of the four kinds of failure modes included,
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
dd
- 智能信息处理，是对神经网络用matlab进行计算，测试数据与实际故障模式之间的关系-Test data and the actual relationship between the failure mode
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
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.)
基于实际数据和Bladed数据对变桨故障模式的诊断
- 基于实际数据和Bladed数据对变桨故障模式的诊断，运用机器学习的方法对大数据进行处理，得到可以表征故障模式的特征。(Based on the actual data and Bladed data for the diagnosis of the variable paddle fault mode, the machine learning method is used to deal with the large data, and the characteristics of the f
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)