Chaotic time series prediction of E-nose sensor drift in embedded phase space

Sensors and Actuators, B: Chemical

Volumn 182, Issue , 2013, Pages 71-79

  Zhang, Lei ^a   Tian, Fengchun ^a   Liu, Shouqiong ^b   Dang, Lijun ^a   Peng, Xiongwei ^a   Yin, Xin ^a  

^a CHONGQING UNIVERSITY   (China)

^b Academy of Metrology and Quality Inspection   (China)

Author keywords

Sensor drift Chaotic time series Long term prediction Phase space reconstruction Radial basis function neural network

Indexed keywords

CHAOTIC TIME SERIES; CHAOTIC TIME SERIES PREDICTION; EMBEDDED PHASE SPACE; EXPERIMENTAL OBSERVATION; LONG-TERM OBSERVATIONS; METAL-OXIDE SEMICONDUCTOR SENSORS; PHASE SPACE RECONSTRUCTIONS (PSR); RADIAL BASIS FUNCTION NEURAL NETWORKS;

CHEMICAL SENSORS; FORECASTING; LYAPUNOV METHODS; MOS DEVICES; NEURAL NETWORKS; PHASE SPACE METHODS; RADIAL BASIS FUNCTION NETWORKS;

TIME SERIES;

EID: 84875692341     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2013.03.003     Document Type: Article

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