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» Neural Dynamics with Stochasticity
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NN
2010
Springer
143views Neural Networks» more  NN 2010»
14 years 10 months ago
Adaptive critics for dynamic optimization
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy
GIS
2009
ACM
15 years 3 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
CEC
2007
IEEE
15 years 6 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...
106
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GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 4 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui