scholarly journals SIA: A supervised inductive algorithm with genetic search for learning attributes based concepts

Author(s):  
Gilles Venturini
1998 ◽  
Vol 118 (5) ◽  
pp. 727-736
Author(s):  
Hertog Nugroho ◽  
Shigeyoshi Takahashi ◽  
Yoshiteru Ooi ◽  
Shinji Ozawa
Keyword(s):  

2011 ◽  
Vol 141 ◽  
pp. 92-97
Author(s):  
Miao Hu ◽  
Tai Yong Wang ◽  
Bo Geng ◽  
Qi Chen Wang ◽  
Dian Peng Li

Nonlinear least square is one of the unconstrained optimization problems. In order to solve the least square trust region sub-problem, a genetic algorithm (GA) of global convergence was applied, and the premature convergence of genetic algorithms was also overcome through optimizing the search range of GA with trust region method (TRM), and the convergence rate of genetic algorithm was increased by the randomness of the genetic search. Finally, an example of banana function was established to verify the GA, and the results show the practicability and precision of this algorithm.


Author(s):  
Zailin Guan ◽  
Chuangjian Wang ◽  
Jinguo Huang ◽  
Lizhi Wan ◽  
Xinyu Shao

2013 ◽  
Vol 791-793 ◽  
pp. 1318-1321
Author(s):  
Lei Meng

By means of measuring creep curves, microstructure observation and FEM analysis of the stress field near the hole; an investigation has been made into the influence of the defects on creep behaviors and microstructure evolution of single crystal nickel-based superalloys. Results show that the creep lifetimes and plasticity of the single crystal nickel based superalloys are obviously decreased by microstructure defects. During high temperature creep, the stress isoline near the holes region displays the feature of the acetabuliform distribution, and possesses the bigger stress value at 45° angle direction relative to the applied stress axis. That results in the γ phase transformed into the rafted structure at 45° angle direction relative to the applied stress axis, and the circular holes defects are elongated into the ellipse in shape along the direction parallel to the applied stress axis.


2012 ◽  
Vol 64 (12) ◽  
pp. 3763-3776 ◽  
Author(s):  
Robert Schaefer ◽  
Aleksander Byrski ◽  
Joanna Kołodziej ◽  
Maciej Smołka

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