Multiple Neural Network Modeling Method for Carbon and Temperature Estimation in Basic Oxygen Furnace

2006 ◽  
pp. 870-875 ◽  
Author(s):  
Xin Wang ◽  
Zhong-Jie Wang ◽  
Jun Tao
Keyword(s):  
Neural Network ◽  
Network Modeling ◽  
Basic Oxygen Furnace ◽  
Modeling Method ◽  
Neural Network Modeling ◽  
Temperature Estimation ◽  
Basic Oxygen ◽  
Multiple Neural Network

Hopfield Neural Network Modeling Method Based on Subset KPCA with FCMC Clustering

2014 ◽  
Vol 1049-1050 ◽  
pp. 1658-1661
Author(s):  
Xiang Jie Luo ◽  
Xiao Yong Li ◽  
Hong Qu ◽  
Yue Bo Meng
Keyword(s):  
Neural Network ◽  
Nonlinear Modeling ◽  
Network Modeling ◽  
Hopfield Neural Network ◽  
Modeling Method ◽  
Neural Network Modeling ◽  
Fuzzy C Means Clustering ◽  
Components Analysis ◽  
Kernel Principal Components Analysis ◽  
Better Than

In order to improve the performance of nonlinear modeling, a Hopfield neural network modeling method based on Subset Kernel Principal Components Analysis (SubKPCA) with Fuzzy C-Means Clustering (FCMC) is proposed. The simulation result shows that, the performance of the proposed method is better than that of Hopfield neural network based on KPCA. It also is effective and feasible to establish the model for the estimation of missing flight data.

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