A SEASONAL AUTO-REGRESSIVE MODEL BASED SUPPORT VECTOR REGRESSION PREDICTION METHOD FOR H5N1 AVIAN INFLUENZA ANIMAL EVENTS

DOI10.1142/S1469026811003069zbMath1222.62122MaRDI QIDQ3173436

Jie Zhang, Jie Lu, Guang-Quan Zhang

Publication date: 10 October 2011

Published in: International Journal of Computational Intelligence and Applications (Search for Journal in Brave)

zbMATH Keywords

time series predictionavian influenzaauto-regressive modelBox-Jenkins model

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• LIBSVM

Cites Work

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• Electric load forecasting by support vector model
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• ANNEALED CHAOTIC LEARNING FOR TIME SERIES PREDICTION IN IMPROVED NEURO-FUZZY NETWORK WITH FEEDBACKS
• COMPUTATIONAL INTELLIGENCE TECHNIQUES FOR HOME ELECTRIC LOAD FORECASTING AND BALANCING
• A HYBRID SUPPORT VECTOR REGRESSION APPROACH FOR RAINFALL FORECASTING USING PARTICLE SWARM OPTIMIZATION AND PROJECTION PURSUIT TECHNOLOGY

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