DocumentCode
354186
Title
The method of design for MLPNN´s structure based on species evolutionary GA
Author
Zhiyong, Li ; Tiaosheng, Tong ; Liang, Jiang
Author_Institution
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Volume
2
fYear
2000
fDate
2000
Firstpage
911
Abstract
In dealing with the design of neural network´s structure and drawbacks of the normal design methods, this paper proposes a new method for designing the multilayer perceptron neural network (MLPNN) structure based on species evolutionary genetic algorithms. This method of combining the neural network (NN) and genetic algorithm (GA) has the superiority of NN´s structure training speed and fitness. The simulation and application demonstrate the effectiveness of the method
Keywords
genetic algorithms; learning (artificial intelligence); multilayer perceptrons; genetic algorithms; multilayer perceptron; neural network; species evolution; structure learning; Algorithm design and analysis; Design engineering; Design methodology; Educational institutions; Genetic algorithms; Genetic engineering; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.863365
Filename
863365
Link To Document