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» RBF networks training using a dual extended Kalman filter
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IJON
2002
103views more  IJON 2002»
13 years 4 months ago
RBF networks training using a dual extended Kalman filter
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...
Iulian B. Ciocoiu
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 9 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
NIPS
1998
13 years 6 months ago
Global Optimisation of Neural Network Models via Sequential Sampling
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
João F. G. de Freitas, Mahesan Niranjan, Ar...
TRIDENTCOM
2006
IEEE
13 years 10 months ago
QUETZAL: qualified ultra-wideband testbed for reduced data-rates and location
— This work presents an UWB testbed for reduced data rates with capabilities of measuring range and location. The transmitter uses Time Hopping spread spectrum codes to reduce th...
Antonio Mollfulleda, M. Nájar, P. Miskovsky...
CIS
2005
Springer
13 years 10 months ago
Distance Protection of Compensated Transmission Line Using Computational Intelligence
A new approach for protection of transmission line including TCSC is presented in this paper. The proposed method includes application of Fuzzy Neural Network for distance relaying...
S. R. Samantaray, Pradipta K. Dash, Ganapati Panda...