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ENGL
2008
98views more  ENGL 2008»
8 years 11 months ago
A New Wavelet Back Propagation Neural Networks for Structural Dynamic Analysis
dynamic analysis of structures for earthquake induced loads is very expensive in terms of the computational burden. In this study, to reduce the computational effort a new neural s...
R. Kamyab Moghadas, S. Gholizadeh
ISCAS
2005
IEEE
154views Hardware» more  ISCAS 2005»
9 years 5 months ago
Back propagation learning of neural networks with chaotically-selected affordable neurons
— Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On ...
Yoko Uwate, Yoshifumi Nishio
FGCN
2008
IEEE
153views Communications» more  FGCN 2008»
9 years 5 months ago
Experimental Study on Neuronal Spike Sorting Methods
When recording extracellular neural activity, it is often necessary to distinguish action potentials arising from distinct cells near the electrode tip, a process commonly referre...
Jianhua Dai, Xiaochun Liu, Yu Yi, Huaijian Zhang, ...
ISNN
2010
Springer
8 years 9 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
EUSFLAT
2003
110views Fuzzy Logic» more  EUSFLAT 2003»
9 years 22 days ago
Neuro-finite element static analysis of structures by assembling elemental neuro-modelers
Recently, several algorithms have been proposed for using neural networks in dynamic analysis of small structural systems, and also constructing adaptive material modeling subrout...
Abdolreza Joghataie
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