Permeability prediction model for imperial smelting furnace based on improved case-based reasoning

Author(s):  
Chunhua Yang ◽  
Hongqiu Zhu ◽  
Weihua Gui
2011 ◽  
Vol 418-420 ◽  
pp. 1919-1924
Author(s):  
Xian Yun Wang ◽  
Jian Qin Liu ◽  
Wei Guo

Abstract For complex and difficult geology, it is difficult to design right cutters for TBM in the conventional ways. So the successful experiences and data accumulated are very useful in TBM disc cutters design. CBR is a reasoning methodology that exploits similar experienced solutions, in the form of past cases, to solve new problems. This paper proposes an AHP-Based CBR model that overcomes the difficulty of measuring experience for determining the relative weight of attributes by the analytic hierarchy process. By comparing, the model using the analytic hierarchy process was more accurate, reliable, and explanatory for solving new problems using experience from previous cases.


2017 ◽  
Vol 143 (6) ◽  
pp. 04017008 ◽  
Author(s):  
Nahyun Kwon ◽  
Moonseo Park ◽  
Hyun-Soo Lee ◽  
Joseph Ahn ◽  
Sooyoung Kim

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