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GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
13 years 11 months ago
Breeding swarms: a new approach to recurrent neural network training
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...
Matthew Settles, Paul Nathan, Terence Soule
ICPR
2004
IEEE
14 years 7 months ago
Improvement of Bidirectional Recurrent Neural Network for Learning Long-Term Dependencies
Bidirectional recurrent neural network(BRNN) is a noncausal generalization of recurrent neural network(RNN). It can not learn remote information efficiently due to the problem of ...
Jinmiao Chen, Narendra S. Chaudhari
ESANN
2008
13 years 7 months ago
Conditional prediction of time series using spiral recurrent neural network
Frequently, sequences of state transitions are triggered by specific signals. Learning these triggered sequences with recurrent neural networks implies storing them as different at...
Huaien Gao, Rudolf Sollacher
IWANN
1995
Springer
13 years 9 months ago
General Transient Length Upper Bound for Recurrent Neural Networks
A. M. C.-L. Ho, Philippe De Wilde