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NPL
2011
12 years 10 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...
IJON
1998
82views more  IJON 1998»
13 years 7 months ago
Solving arithmetic problems using feed-forward neural networks
We design new feed-forward multi-layered neural networks which perform di erent elementary arithmetic operations, such as bit shifting, addition of N p-bit numbers, and multiplica...
Leonardo Franco, Sergio A. Cannas
ICANN
1997
Springer
13 years 11 months ago
Minimalistic Approach to 3D Obstacle Avoidance Behavior from Simulated Evolution
We present a minimalistic approach to establish obstacle avoidance and course stabilization behavior of a simulated flying autonomous agent in a 3D virtual world. The agent uses v...
Titus R. Neumann, Susanne A. Huber, Heinrich H. B&...
ICPR
2006
IEEE
14 years 8 months ago
Part-Based Multi-Frame Registration for Estimation of the Growth Of Cellular Networks in Plant Roots
Motion estimation from confocal scanning laser microscope images of growing plant cell structures presents interesting challenges; motion exhibits multiple local discontinuities a...
Timothy J. Roberts, Stephen J. McKenna, J. Hans, T...
COMPLEX
2009
Springer
14 years 2 months ago
Phase Transition of Active Rotators in Complex Networks
Abstract. We study the nonequilibrium phenomena of a coupled active rotator model in complex networks. From a numerical Langevin simulation, we find the peculiar phase transition ...
Seung-Woo Son, Hawoong Jeong, Hyunsuk Hong