Proteometric study of ghrelin receptor function variations upon mutations using amino acid sequence autocorrelation vectors and genetic algorithm-based least square support vector machines

2007 ◽  
Vol 26 (1) ◽  
pp. 166-178 ◽  
Author(s):  
Julio Caballero ◽  
Leyden Fernández ◽  
Miguel Garriga ◽  
José Ignacio Abreu ◽  
Simona Collina ◽  
...  
2011 ◽  
Vol 204-210 ◽  
pp. 301-305
Author(s):  
De Quan Zhu ◽  
Tao Mei ◽  
Cheng Mao Cao

To improve the control precision of robotic manipulator, fuzzy support vector machines control method for robotic manipulator was presented based on genetic algorithm and least square algorithm. Fuzzy algorithm was used to decouple joints. Using support vector machines, fuzzy logical control of complete process and treatment of non-linear signal were realized. The parameters of controller were optimized by hybrid learning algorithm. First, least square algorithm was used for off-line optimization to form support vector machines control system. Then, genetic algorithm was used for on-line optimization to get the optimal performance parameters of support vector machines and the optimal fuzzy proportional parameters. Simulation results of a two-link manipulator demonstrated that the control method designed gets tracking effect with high precision.


Information ◽  
2015 ◽  
Vol 6 (2) ◽  
pp. 212-227 ◽  
Author(s):  
Fang Zong ◽  
Yu Bai ◽  
Xiao Wang ◽  
Yixin Yuan ◽  
Yanan He

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