DocumentCode
1592330
Title
Fast Algorithm of Evolutional Learning Neural Network
Author
Xu, Zhong-hua ; Chen, Wei-bing ; Yang, Wei-feng ; Liu, Fengnian
Author_Institution
Sch. of Comput. & Commun., Hunan Univ. of Technol., Zhuzhou, China
fYear
2012
Firstpage
262
Lastpage
265
Abstract
The neural networks have been widely applied to optimum calculation and solution of complicated problems. In particular, the evolutional learning neural network has better characteristic and higher precision than other neural networks. But the slow computational rate of evolutional learning and the local-optimum of the evolutional learning neural network seriously influence its application. In this paper, the fast algorithm combining the gradient descent algorithm with the evolutional learning algorithm can effectively solve above problems. This neural network has been extensively applied.
Keywords
evolutionary computation; neural nets; evolutional learning neural network; gradient descent algorithm; Backpropagation; Biological neural networks; Computational modeling; Computers; Educational institutions; Production; Vectors; Evolutional learning; Gradient descent algorithm; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-1-4577-2120-5
Type
conf
DOI
10.1109/ISdea.2012.712
Filename
6173198
Link To Document