DocumentCode
466520
Title
Neural Network Topological Evolvement
Author
Zhongda, Yuan ; Zhen, Ye
Author_Institution
Dept. of Comput. Sci., Tsinghua Univ., Beijing
Volume
1
fYear
2006
fDate
4-6 Oct. 2006
Firstpage
408
Lastpage
411
Abstract
In order to obtain instance response from evolving neural networks, we separate the evolving procedure and the output procedure in the traditional GA approach, and make them simultaneously. Thanks to the support from database system, this modified GA has three characteristics, namely serialized storage, persistent evolving and instance response to end user´s request. In our experiment, this approach shows off better performance over the conventional strategy
Keywords
data mining; genetic algorithms; neural nets; data mining; genetic algorithm; neural network topological evolvement; serialized storage; Application software; Computer science; Data mining; Database systems; Electronic mail; Genetics; Multi-layer neural network; Neural networks; Neurons; Systems engineering and theory; Data Mining; Genetic Algorism; Neural Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location
Beijing
Print_ISBN
7-302-13922-9
Electronic_ISBN
7-900718-14-1
Type
conf
DOI
10.1109/CESA.2006.4281687
Filename
4281687
Link To Document