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FLAIRS
2001
13 years 9 months ago
Neural Networks in Forecasting Electrical Energy Consumption
Thispaperpresentsan artificial neuralnetwork(ANN)approach to electric energyconsumption(EEC)forecasting. In order providethe forecastedenergyconsumption,the ANNinterpolates betwee...
George E. Nasr, E. A. Badr, M. R. Younes
CASDMKM
2004
Springer
157views Data Mining» more  CASDMKM 2004»
14 years 1 months ago
A Novel Hybrid AI System Framework for Crude Oil Price Forecasting
In this study, a novel hybrid AI system framework is developed by means of a systematic integration of artificial neural networks (ANN) and rulebased expert system (RES) with web-b...
Shouyang Wang, Lean Yu, Kin Keung Lai
HIS
2007
13 years 9 months ago
How to Obtain Fair Managerial Decisions in Sugar Cane Harvest Using NSGA-II
The world’s demand for sugar and particularly for renewable fuels such as ethanol requires an increase in production in sugar mills. The use of artificial neural networks (ANN) ...
Diogo Ferreira Pacheco, Tarcísio Daniel P. ...
EUSFLAT
2003
108views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Soft computing and control of district heating system
The article deals with the possible methodology of processing of data and information for the search of prediction of heat supply daily diagram (HSDD). The methodology includes te...
Petr Dostál, Bronislav Chramcov, Jaroslav B...
CBMS
2007
IEEE
13 years 8 months ago
A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings
A novel three-stage method for the analysis of electroencephalographic (EEG) signals, concerning epileptic seizures, is proposed. First, segments of the EEG signals are analyzed u...
Alexandros T. Tzallas, Markos G. Tsipouras, Dimitr...