66 search results - page 5 / 14 » Global and local neural network ensembles |
NN
2000
Springer
13 years 7 months ago
2000
Springer
Local minima and plateaus pose a serious problem in learning of neural networks. We investigate the hierarchical geometric structure of the parameter space of three-layer perceptr...
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
ICAI
2008
13 years 8 months ago
2008
: This paper presents a new approach to equalization of communication channels using Artificial Neural Networks (ANNs). A novel method of training the ANNs using Tabu based Back Pr...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Feedback circuits are important for understanding the emergence of patterns of neural activity. In this contribution we study how a delayed circuit representing a recurre...
NN
1998
Springer
13 years 7 months ago
1998
Springer
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...