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» On Generalization by Neural Networks
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ENGL
2008
98views more  ENGL 2008»
13 years 10 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
GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
14 years 3 months ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller
TNN
2008
106views more  TNN 2008»
13 years 9 months ago
Stability and Hopf Bifurcation of a General Delayed Recurrent Neural Network
In this paper, stability and bifurcation of a general recurrent neural network with multiple time delays is considered, where all the variables of the network can be regarded as bi...
Wenwu Yu, Jinde Cao, Guanrong Chen
CEC
2007
IEEE
14 years 4 months ago
Improving generalization capability of neural networks based on simulated annealing
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Ho...
WAPCV
2004
Springer
14 years 3 months ago
TarzaNN: A General Purpose Neural Network Simulator for Visual Attention Modeling
A number of computational models of visual attention exist, but making comparisons is difficult due to the incompatible implementations and levels at which the simulations are con...
Albert L. Rothenstein, Andrei Zaharescu, John K. T...