Title :
Variable Structure Neural Network Based on Improved Estimation of Distribution Algorithm
Author :
Zhang Yi ; Wu Jinhua ; Yang Xiuxia
Author_Institution :
Dept. of Control Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
Abstract :
Combining with genetic algorithm, the improved estimation of distribution algorithm (EDA) is provided. The crossover and mutation operations are added and the "elite" individuals are retained, which can keep the excellent evolution mode. The selection based on energy entropy is added, which can explore the solution space sufficiently and keep the population diversity. A neural network with switches introduced to its links is proposed. The method of tuning the structure and parameters of the neural network using the improved EDA is provided. The carrying robot inverse dynamics model approximation example show the validity of this algorithm.
Keywords :
distributed algorithms; entropy; estimation theory; neural nets; crossover operations; distribution algorithm estimation; energy entropy; excellent evolution mode; mutation operations; population diversity; robot inverse dynamics model approximation; switches; variable structure neural network; Diversity reception; Electronic design automation and methodology; Entropy; Genetic algorithms; Genetic mutations; Inverse problems; Neural networks; Orbital robotics; Space exploration; Switches;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5362541
