Early warning of abnormal state of wind turbine based on principal component analysis and RBF neural network

2021 ◽  
Author(s):  
Sihan Chen ◽  
Yongguang Ma ◽  
Liangyu Ma ◽  
Fuyu Qiao ◽  
Hao Yang
Keyword(s):  
Neural Network ◽  
Principal Component Analysis ◽  
Wind Turbine ◽  
Early Warning ◽  
Rbf Neural Network ◽  
Principal Component ◽  
Component Analysis ◽  
Abnormal State

Research on Selecting Real Estate Project Based on PCA and RBF Neural Network

2011 ◽  
Vol 225-226 ◽  
pp. 162-165
Author(s):  
Hui Zhao ◽  
Li Ming Chen
Keyword(s):  
Neural Network ◽  
Principal Component Analysis ◽  
Real Estate ◽  
Rbf Neural Network ◽  
Principal Component ◽  
Component Analysis ◽  
Basic Function ◽  
The Real ◽  
The Real Estate ◽  
Real Estate Project

A new method based on the integration of principal component analysis (PCA) and radial basic function (RBF) neural network is put forward for selecting the real estate project. Firstly, principal component analysis (PCA) is used to reduce the evaluation index dimensions. And then, radial basic function (RBF) neural network is used to evaluate the real estate projects. In order to grasp this method better, finally, the paper provides a case to demonstrate the application of this method in selecting the real estate project. The case has shown that the method applied to select the real estate project is feasible and reliable.

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