DocumentCode :
1565123
Title :
Time and Error Analysis of Neurocomputing of Finite Element
Author :
Zhang, Jun ; Huang, Hong-Zhong ; Sun, Dao-Heng
Author_Institution :
Coll. of Comput. Sci., Chongqing Univ.
Volume :
2
fYear :
2005
Firstpage :
1062
Lastpage :
1066
Abstract :
On the basis of dynamic equations of neural networks, the stabilizing time and the computing precision in the neurocomputation of elastic problem are analyzed both theoretically and numerically. The simulation results show that there are effects of capacity C, amplifying gain beta on the stabilizing time, and the resistance R, penalty coefficient alpha on the precision. But because solving time is 10-12 order, it is no necessary to constrain the R, C, beta, alpha strictly when it is applied to engineering problems
Keywords :
error analysis; finite element analysis; neural nets; dynamic equations; error analysis; finite element analysis; neural networks; neurocomputing; penalty coefficient; time analysis; Computational modeling; Computer networks; Elasticity; Equations; Error analysis; Finite element methods; Matrices; Neural networks; Neurons; Numerical simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
Type :
conf
DOI :
10.1109/ICNNB.2005.1614801
Filename :
1614801
Link To Document :
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