scholarly journals A Short-Term Traffic Flow Forecasting Method Based on a Three-Layer K-Nearest Neighbor Non-Parametric Regression Algorithm

2016 ◽  
Vol 06 (04) ◽  
pp. 200-206 ◽  
Author(s):  
Xiyu Pang ◽  
Cheng Wang ◽  
Guolin Huang
Keyword(s):  
Traffic Flow ◽  
Nearest Neighbor ◽  
K Nearest Neighbor ◽  
Short Term ◽  
Parametric Regression ◽  
Traffic Flow Forecasting ◽  
Forecasting Method ◽  
Non Parametric

scholarly journals A Sample-Rebalanced Outlier-Rejected $k$ -Nearest Neighbor Regression Model for Short-Term Traffic Flow Forecasting

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 22686-22696 ◽  
Author(s):  
Lingru Cai ◽  
Yidan Yu ◽  
Shuangyi Zhang ◽  
Youyi Song ◽  
Zhi Xiong ◽  
...  
Keyword(s):  
Regression Model ◽  
Traffic Flow ◽  
Nearest Neighbor ◽  
K Nearest Neighbor ◽  
Short Term ◽  
Traffic Flow Forecasting

scholarly journals Determination of Reactivity Ratios from Binary Copolymerization Using the k-Nearest Neighbor Non-Parametric Regression

Polymers ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3811
Author(s):  
Iosif Sorin Fazakas-Anca ◽  
Arina Modrea ◽  
Sorin Vlase
Keyword(s):  
Experimental Data ◽  
Nearest Neighbor ◽  
Optimization Method ◽  
Reactivity Ratios ◽  
Data Sets ◽  
K Nearest Neighbor ◽  
Integration Algorithm ◽  
Data Set ◽  
Parametric Regression ◽  
Non Parametric

This paper proposes a new method for calculating the monomer reactivity ratios for binary copolymerization based on the terminal model. The original optimization method involves a numerical integration algorithm and an optimization algorithm based on k-nearest neighbour non-parametric regression. The calculation method has been tested on simulated and experimental data sets, at low (<10%), medium (10–35%) and high conversions (>40%), yielding reactivity ratios in a good agreement with the usual methods such as intersection, Fineman–Ross, reverse Fineman–Ross, Kelen–Tüdös, extended Kelen–Tüdös and the error in variable method. The experimental data sets used in this comparative analysis are copolymerization of 2-(N-phthalimido) ethyl acrylate with 1-vinyl-2-pyrolidone for low conversion, copolymerization of isoprene with glycidyl methacrylate for medium conversion and copolymerization of N-isopropylacrylamide with N,N-dimethylacrylamide for high conversion. Also, the possibility to estimate experimental errors from a single experimental data set formed by n experimental data is shown.

Sign in / Sign up

Export Citation Format

Share Document