Title :
A Novel Hybrid Method Based on Genetic Algorithms and Neural Networks
Author :
Zhu, Zhibin ; Zhou, Anwa ; De He ; Wang, Shuo
Author_Institution :
Coll. of Math. & Comput. Sci., Guilin Univ. of Electron. Technol., Guilin, China
Abstract :
In this paper, according to the characters of neural networks and genetic algorithms, we present a new hybrid intelligence optimization algorithm. The idea of genetic algorithms is embedded on the weight adjustment of neural networks. The numerical results show that the method is efficient.
Keywords :
genetic algorithms; neural nets; genetic algorithms; hybrid intelligence optimization algorithm; neural networks; Artificial neural networks; Encoding; Genetic algorithms; Genetics; Neurons; Optimization; Training; data prediction; genetic algorithms; hybrid method; neural networks; weight adjustment;
Conference_Titel :
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-61284-347-6
DOI :
10.1109/NCIS.2011.102
