Prediction of MPEG video traffic over ATM networks using dynamic bilinear recurrent neural network

Applied Mathematics and Computation

Volumn 205, Issue 2, 2008, Pages 648-657

  Park, Dong Chul ^a  

^a Myong Ji University   (South Korea)

Author keywords

Dynamic learning; MPEG video traffic; Neural networks; Prediction; Recurrent

Indexed keywords

AIR TRAFFIC CONTROL; ASYNCHRONOUS TRANSFER MODE; AUTOMATIC TELLER MACHINES; BITS; EDUCATION; FORECASTING; IMAGE CLASSIFICATION; INTERNET PROTOCOLS; LEARNING ALGORITHMS; LEARNING SYSTEMS; LINEAR SYSTEMS; MOTION PICTURE EXPERTS GROUP STANDARDS; NETWORK PROTOCOLS; NEURAL NETWORKS; NONLINEAR SYSTEMS; OPTIMIZATION; RECURRENT NEURAL NETWORKS; REINFORCEMENT LEARNING; SENSOR NETWORKS; VEGETATION; VIDEO SIGNAL PROCESSING;

ATM NETWORKS; BIT RATES; BURSTY SOURCES; DYNAMIC LEARNING; DYNAMIC LEARNINGS; LAYER-BY-LAYER; MODELING; MPEG TRAFFICS; MPEG VIDEO TRAFFIC; MPEG VIDEO TRAFFICS; NEURAL-NETWORK; ON-LINE LEARNINGS; PERCEPTRON; PREDICTION; PREDICTION CAPABILITIES; PREDICTION ERRORS; PREDICTION PROBLEMS; PREDICTION SCHEMES; REAL WORLDS; RECURRENT; RECURSIVE NEURAL NETWORKS; RELIABLE; STAR WARS;

COMPUTER NETWORKS;

EID: 54249112734     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2008.05.039     Document Type: Article

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