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JACIII
2008
67views more  JACIII 2008»
13 years 5 months ago
A Global Optimization Method RasID-GA for Neural Network Training
DongKyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro H...
IJCNN
2000
IEEE
13 years 10 months ago
Global Optimization Algorithms for Training Product Unit Neural Networks
A. Ismail, Andries Petrus Engelbrecht
HIS
2001
13 years 7 months ago
Global Optimisation of Neural Networks Using a Deterministic Hybrid Approach
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
Gleb Beliakov, Ajith Abraham
AMC
2007
154views more  AMC 2007»
13 years 5 months ago
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....
CEC
2007
IEEE
13 years 12 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...