搜索资源列表
自组织
- 自组织神经网络,用于模式识别以及故障智能诊断。 -self-organizing neural networks for pattern recognition and intelligent fault diagnosis.
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
fuzzynueralnetwork
- 介绍了模糊神经网络的对摊铺机的智能故障的识别应用-on FNN right paver Intelligent Fault Recognition Application
DS7
- 《基于D_S证据理论的雷达故障诊断方法》《基于D_S证据理论的煤粉细度融合诊断》《基于D_S证据理论的神经网络形状识别系统》
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
20090226
- 从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的 分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分 量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混 合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the independence of the starting signal
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
bpbyq
- bp神经网络算法,用于设备故障类型的模式识别,此例为变压器故障类型识别,并有变压器仿真数据-bp neural network algorithm for equipment failure type of pattern recognition, in this case for the transformer fault type identification, and a transformer simulation data
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
BPDLX
- 通过MATLAB实现BP神经网络模式识别,对故障类型识别、智能化选择具有重要意义-, The fault type identification, intelligent choice of great significance through MATLAB BP neural network pattern recognition
BP神经网络故障诊断
- 基于BP神经网络的故障诊断与识别,用于简单的模式识别。
fuzzy
- 利用MATLAB软件进行故障分析,自己编写的模糊神经网络故障识别程序-Using MATLAB software for fault analysis, the preparation of fuzzy neural network fault identification procedures
神经网络
- 用于柴油机振动信号分析与故障检测,把信号的特征值输入神经网络进行识别。
emd+信息熵
- 可以实现机械EMD经验模态分解,提取特征量并利用神经网络进行模式识别故障类型(The empirical mode decomposition of mechanical EMD can be realized, feature quantity is extracted and neural network is used to identify the type of fault.)
CNN 11 tezhengtiqu
- 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.)
bishe
- 使用BP神经网络,对异步电机故障识别的一个简单小例子。(Using BP neural network, a simple example of fault recognition of asynchronous motor is presented.)
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)