Sciweavers

ESANN
2000
14 years 6 days ago
Bootstrap for neural model selection
Riadh Kallel, Marie Cottrell, Vincent Vigneron
ESANN
2000
14 years 6 days ago
A statistical model selection strategy applied to neural networks
In statistical modelling, an investigator must often choose a suitable model among a collection of viable candidates. There is no consensus in the research community on how such a...
Joaquín Pizarro Junquera, Elisa Guerrero V&...
ESANN
2000
14 years 6 days ago
A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model
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 ...
Piero A. Gili, Manuela Battipede
ESANN
2000
14 years 6 days ago
Committee formation for reliable and accurate neural prediction in industry
Abstract. This paper describes "cranking", a new committee formation algorithm. Cranking results in accurate and reliable committee predictions, even when applied to comp...
Peter J. Edwards, Alan F. Murray
ESANN
2000
14 years 6 days ago
Self-Organisation in the SOM with a finite number of possible inputs
Abstract. Given a one dimensional SOM with a monotonically decreasing neighbourhood and an input distribution which is not Lebesque continuous, a set of su cient conditions and a T...
John A. Flanagan
ESANN
2000
14 years 6 days ago
Load forecasting dealing with medium voltage network reconfiguration
Planing the operation in modern power systems requires suitable anticipation of load evolution at different levels of distribution network. Under this perspective, load forecasting...
José Nuno Fidalgo, João Abel Pe&cced...
ESANN
2000
14 years 6 days ago
Influence of weight-decay training in input selection methods
We describe the results of a research on the effect of weight-decay (WD) in input selection methods based on the analysis of a trained multilayer feedforward network. It was propos...
Mercedes Fernández-Redondo, Carlos Hern&aac...
ESANN
2000
14 years 6 days ago
Discriminative learning for neural decision feedback equalizers
In this work new Decision-Feedback (DF) Neural Equalizers (DFNE) are introduced and compared with classical DF equalizers and Viterbi demodulators. It is shown that the choice of ...
Elio D. Di Claudio, Raffaele Parisi, Gianni Orland...
ESANN
2000
14 years 6 days ago
Regularization in oculomotor control
In modelling the development of the oculomotor control system using neural networks, it is important to determine the appropriate cost function on which to train the models. Whilst...
John A. Bullinaria, Patricia M. Riddell