11 search results - page 2 / 3 » A Novel Recurrent Neural Network for Solving Nonlinear Optim... |
NECO
2007
13 years 4 months ago
2007
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
This paper proposes a novel application of differential evolution to solve a difficult dynamic optimisation or optimal control problem. The miss distance in a missile-target engag...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In thi...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
ATMOS
2007
13 years 6 months ago
2007
The optimal track allocation problem (OPTRA) is to find, in a given railway network, a conflict free set of train routes of maximum value. We study two types of integer programmi...