The transfer mechanism of pollution industry in China under multi-factor combination model—based on the perspective of industry, location, and environment

2021 ◽  
Author(s):  
Chuang Li ◽  
Wenjing Xia ◽  
Liping Wang
Keyword(s):  
Transfer Mechanism ◽  
Combination Model ◽  
Industry Location ◽  
Model Based ◽  
Factor Combination

Combination Model Based on CBR and SVM for BOF Oxygen Volume Calculation

2013 ◽  
Vol 634-638 ◽  
pp. 3741-3747
Author(s):  
Jun Xing ◽  
Jian Jun Peng ◽  
Yan Hui Yin
Keyword(s):  
Mutual Information ◽  
Basic Oxygen Furnace ◽  
Volume Control ◽  
Support Vector ◽  
Case Based Reasoning ◽  
Volume Calculation ◽  
Combination Model ◽  
Model Based ◽  
Svm Model ◽  
Artificial Intelligence Technology

Oxygen blowing volume control is very important in Basic Oxygen Furnace (BOF) steelmaking. A combination model based on information theory and artificial intelligence technology is proposed for oxygen blowing volume calculation. The combination model is composed of Case-based Reasoning (CBR) model and Support Vector Machine (SVM) model. In CBR model, the mutual information is introduced in case retrieval step to determine the weights of attributes. In SVM model, the mutual information is adopt to distinguish the importance of input variables by setting a different weight to each variable. The CBR model is viewed as experience based model and the SVM model is viewed as data based model. To model the oxygen blowing volume accurately, CBR model and SVM model are combined. Tests on a 180 ton BOF data are implemented to validate the effectiveness of the proposed method.

The Study and Realization of Customer-Churn Model Based on Date Mining in Telcom

2013 ◽  
Vol 336-338 ◽  
pp. 2229-2232 ◽  
Author(s):  
Yu Bo Jia ◽  
Qian Zhang ◽  
Qian Qian Ding ◽  
Dan Li Liu
Keyword(s):  
Prediction Model ◽  
Model Prediction ◽  
Combination Model ◽  
Customer Churn ◽  
Model Based ◽  
Run Off ◽  
High Efficient ◽  
Efficient Prediction ◽  
Constraint Model

Customer frequent churn is a serious problem in telecom. In the three major telecom operators, the competition is quite fierce. Owing to lack of a high-efficient prediction model ,the existing means effect is far from enterprise target. This paper proposes a combination model CPM based on constraint model, prediction model and mark model responsible for different job. Customer subdivision is vital for pertinent service further to reduce the rate of latent customers run off.

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