1707 search results - page 58 / 342 » Modeling spiking neural networks |
TSMC
2008
13 years 10 months ago
2008
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
JCNS
2010
13 years 5 months ago
2010
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
ESANN
2000
13 years 11 months ago
2000
Using a nonlinear 15-state helicopter model in 6 DOF, two di erent neural control systems, both acting as rate damping, have been designed and compared. They are both based on the ...
ANSS
1998
IEEE
14 years 2 months ago
1998
IEEE
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
ICAPR
2001
Springer
14 years 2 months ago
2001
Springer
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...