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Volumn , Issue , 2008, Pages 597-602
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Hybridization model of linear and nonlinear time series data for forecasting
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Author keywords
ARIMA_ANN; Cooperative feature selection; Forecasting; GRANN_ARIMA; Hybrid
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Indexed keywords
ARIMA_ANN;
ARTIFICIAL NEURAL NETWORK;
AUTO REGRESSIVE INTEGRATED MOVING AVERAGE;
COOPERATIVE FEATURE SELECTION;
EMPIRICAL RESULTS;
FEATURE SELECTION;
FORECASTING ACCURACY;
GRANN_ARIMA;
HYBRID;
HYBRID MODEL;
HYBRIDIZATION MODEL;
INTERNATIONAL CONFERENCES;
LARGE-SCALE DATA;
MEAN ABSOLUTE DEVIATION;
MEAN ABSOLUTE PERCENTAGE ERROR;
MODELLING AND SIMULATION;
MULTIPLE LINEAR REGRESSION;
NON-LINEAR MODELING;
NONLINEAR TIME SERIES;
OPTIMUM NUMBER;
ROOT-MEAN-SQUARE ERROR;
TIME-SERIES DATA;
ALPHA PARTICLE SPECTROMETERS;
ASSET MANAGEMENT;
BACKPROPAGATION;
BLOCK CODES;
DATA HANDLING;
FEATURE EXTRACTION;
FOOD PROCESSING;
FORECASTING;
HYBRID SENSORS;
IMAGE CLASSIFICATION;
MEAN SQUARE ERROR;
PARTICLE SPECTROMETERS;
REAL TIME SYSTEMS;
REGRESSION ANALYSIS;
TIME SERIES ANALYSIS;
VECTORS;
NEURAL NETWORKS;
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EID: 50249163782
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/AMS.2008.142 Document Type: Conference Paper |
Times cited : (22)
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References (5)
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