Feature dimension reduction method of rolling bearing based on quantum genetic algorithm

2016 ◽  
Author(s):  
Xiaochen Zhang ◽  
Dongxiang Jiang ◽  
Te Han ◽  
Nanfei Wang
Keyword(s):  
Genetic Algorithm ◽  
Dimension Reduction ◽  
Reduction Method ◽  
Rolling Bearing ◽  
Dimension Reduction Method ◽  
Quantum Genetic Algorithm ◽  
Feature Dimension ◽  
Feature Dimension Reduction

scholarly journals Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road Network

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Yi Zhao ◽  
Satish V. Ukkusuri ◽  
Jian Lu
Keyword(s):  
Dimension Reduction ◽  
Traffic Flow ◽  
Reduction Method ◽  
Prediction Models ◽  
Urban Traffic ◽  
Dimension Reduction Method ◽  
Short Term ◽  
Urban Road ◽  
Traffic Flow Prediction ◽  
Flow Prediction

This study develops a multidimensional scaling- (MDS-) based data dimension reduction method. The method is applied to short-term traffic flow prediction in urban road networks. The data dimension reduction method can be divided into three steps. The first is data selection based on qualitative analysis, the second is data grouping using the MDS method, and the last is data dimension reduction based on a correlation coefficient. Backpropagation neural network (BPNN) and multiple linear regression (MLR) models are employed in four kinds of urban traffic environments to test whether the proposed method improves the prediction accuracy of traffic flow. The results show that prediction models using traffic data after dimension reduction outperform the same prediction models using other datasets. The proposed method provides an alternative to existing models for urban traffic prediction.

scholarly journals Bi-CGSTAB as an induced dimension reduction method

2010 ◽  
Vol 60 (11) ◽  
pp. 1100-1114 ◽  
Author(s):  
Gerard L.G. Sleijpen ◽  
Peter Sonneveld ◽  
Martin B. van Gijzen
Keyword(s):  
Dimension Reduction ◽  
Reduction Method ◽  
Dimension Reduction Method
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