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 :
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