139 search results - page 6 / 28 » Multi-step-ahead prediction using dynamic recurrent neural n... |
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
ICRA
2007
IEEE
15 years 3 months ago
2007
IEEE
Prediction of dynamic features is an important task for determining the manipulation strategies of an object. This paper presents a technique for predicting dynamics of objects re...
ICANN
2009
Springer
15 years 4 months ago
2009
Springer
Recently the notion of power law networks in the context of neural networks has gathered considerable attention. Some empirical results show that functional correlation networks in...
ICRA
2008
IEEE
15 years 4 months ago
2008
IEEE
— Consistency of object dynamics, which is related to reliable predictability, is an important factor for generating object manipulation motions. This paper proposes a technique ...
TNN
2010
14 years 4 months ago
2010
A class of recurrent neural networks is proposed and proven to be capable of identifying any discrete-time dynamical system. The application of the proposed network is addressed in...