Title :
Application of Genetic Diagonal Recurrent Neural Network to Servo System
Author :
Yanchun, Du ; Yibin, Li ; Guiyue, Wang
Author_Institution :
Shandong Univ., Jinan
Abstract :
The learning rate and the structure of the diagonal recurrent neural network (DRNN) are selected by the experiential method. The core of the genetic algorithm DRNN (DRNN) is the optimization of the DRNN learning rate and structure by the genetic algorithm. This optimized results composes new neural network. At the same time, the detailed step is abstained. Finally, this GA-DRNN is applied to the design of the servo system controller, Simulation results show that compared with controller based on DRNN, the controller based on GA-DRNN possesses higher precision.
Keywords :
control engineering computing; genetic algorithms; recurrent neural nets; servomechanisms; genetic algorithm DRNN; genetic diagonal recurrent neural network; optimization; servosystem controller; Chaos; Control system synthesis; Electronic mail; Genetic algorithms; Information management; Mechanical engineering; Neural networks; Recurrent neural networks; Servomechanisms; Diagonal Recurrent Neural Network (DRNN); Genetic Algorithm DRNN (GA-DRNN); Servo System;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347422
