151 search results - page 2 / 31 » Optimized Approximation Algorithm in Neural Networks Without... |
ESANN
2006
13 years 6 months ago
2006
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
CEC
2003
IEEE
13 years 10 months ago
2003
IEEE
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
EUSFLAT
2009
13 years 3 months ago
2009
This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil pro...
ML
2007
ACM
13 years 4 months ago
2007
ACM
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
DATE
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper presents a novel architecture for on-chip neural network training using particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm with a growing ...