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» Neural methods for non-standard data
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ESANN
2008
14 years 11 months ago
Neural networks for computational neuroscience
Computational neuroscience is an appealing interdisciplinary domain, at the interface between biology and computer science. It aims at understanding the experimental data obtained...
David Meunier, Hélène Paugam-Moisy
NCA
2007
IEEE
14 years 9 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
TNN
1998
146views more  TNN 1998»
14 years 9 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos
TNN
2011
132views more  TNN 2011»
14 years 4 months ago
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals
—Prediction intervals (PIs) have been proposed in the literature to provide more information by quantifying the level of uncertainty associated to the point forecasts. Traditiona...
Abbas Khosravi, Saeid Nahavandi, Douglas C. Creigh...
ICIAP
1997
ACM
15 years 1 months ago
The COMPARES Project: COnnectionist Methods for Preprocessing and Analysis of REmote Sensing Data
The European Concerted Action \COMPARES" (Concerted Action on COnnectionist Methods for Preprocessing and Analysis of REmote Sensing Data) was funded within the Environment an...
Jim Austin, Giorgio Giacinto, I. Kanellopoulos, Ke...