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» Dynamics of Learning Near Singularities in Layered Networks
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ESANN
2003
13 years 8 months ago
On the weight dynamics of recurrent learning
We derive continuous-time batch and online versions of the recently introduced efficient O(N2 ) training algorithm of Atiya and Parlos [2000] for fully recurrent networks. A mathem...
Ulf D. Schiller, Jochen J. Steil
ARTCOM
2009
IEEE
14 years 2 months ago
ANFIS Approach for Navigation of Mobile Robots
— This paper, discusses about navigation control of mobile robot using adaptive neuro-fuzzy inference system (ANFIS) in a real word dynamic environment. In the ANFIS controller a...
Mukesh Kumar Singh, Dayal R. Parhi, Jayanta Kumar ...
IJCNN
2000
IEEE
13 years 12 months ago
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
Eiji Mizutani, Stuart E. Dreyfus, Kenichi Nishio
JSAC
2010
129views more  JSAC 2010»
13 years 5 months ago
An adaptive link layer for heterogeneous multi-radio mobile sensor networks
—An important challenge in mobile sensor networks is to enable energy-efficient communication over a diversity of distances while being robust to wireless effects caused by node...
Jeremy Gummeson, Deepak Ganesan, Mark D. Corner, P...
ESANN
2008
13 years 9 months ago
Conditional prediction of time series using spiral recurrent neural network
Frequently, sequences of state transitions are triggered by specific signals. Learning these triggered sequences with recurrent neural networks implies storing them as different at...
Huaien Gao, Rudolf Sollacher