85 search results - page 3 / 17 » Novel maximum-margin training algorithms for supervised neur... |
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— Over time, neural networks have proven to be extremely powerful tools for data exploration with the capability to discover previously unknown dependencies and relationships in ...
ICAI
2008
13 years 6 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...
AMC
2007
13 years 5 months ago
2007
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...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...