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» Neural network ensembles for time series forecasting
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TNN
2010
174views Management» more  TNN 2010»
14 years 6 months ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
CCGRID
2006
IEEE
15 years 5 months ago
Network Bandwidth Predictor (NBP): A System for Online Network performance Forecasting
The applicability of network-based computing depends on the availability of the underlying network bandwidth. However, network resources are shared and the available network bandw...
Alaknantha Eswaradass, Xian-He Sun, Ming Wu
IJCNN
2006
IEEE
15 years 5 months ago
Small-catchment flood forecasting and drainage network extraction using computational intelligence
— Forecast, detection and warning of severe weather and related hydro-geological risks is becoming one of the major issues for civil protection. The use of computational intellig...
Erika Coppola, Barbara Tomassetti, Marco Verdecchi...
NCA
2007
IEEE
14 years 11 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
NPL
1998
175views more  NPL 1998»
14 years 11 months ago
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
Roman Rosipal, Milos Koska, Igor Farkas