168 search results - page 17 / 34 » Recurrent neural networks in systems identification |
ESANN
2000
13 years 8 months ago
2000
A system for the automatic segmentation of fluorescence micrographs is presented. In a first step positions of fluorescent cells are detected by a fast learning neural network, whi...
NECO
2007
13 years 7 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...
ICANN
2003
Springer
14 years 21 days ago
2003
Springer
We have proposed that the basal ganglia act as the central switching mechanism for the action selection system of the vertebrate brain. Simulation of our functional model of basal ...
ISNN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
NIPS
2007
13 years 9 months ago
2007
A non–linear dynamic system is called contracting if initial conditions are forgotten exponentially fast, so that all trajectories converge to a single trajectory. We use contra...