Intelligent analysis model of slope nonlinear displacement time series based on genetic-gaussian process regression algorithm of combined kernel function

Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering

Volumn 28, Issue 10, 2009, Pages 2128-2134

  Liu, Kaiyun ^a   Liu, Baoguo ^a   Xu, Chong ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

Combined kernel function; Deformation prediction; Gaussian process(GP); Slope engineering; Time series analysis

Indexed keywords

ANALYTICAL RESULTS; COMBINED KERNEL FUNCTION; CONJUGATE GRADIENT ALGORITHMS; COVARIANCE FUNCTION; DEFORMATION PREDICTION; DISPLACEMENT ANALYSIS; DISPLACEMENT TIME SERIES; GAUSSIAN PROCESS; GAUSSIAN PROCESS REGRESSION; GAUSSIAN PROCESS(GP); GENERALIZATION ABILITY; INITIAL VALUES; INTELLIGENT ANALYSIS; ITERATION STEP; LIKELIHOOD FUNCTIONS; LOCAL OPTIMA; NONLINEAR DISPLACEMENT; OPTIMIZATION EFFECTS; PREDICTION PRECISION; SELF-ADAPTIVE; SINGLE KERNEL; SLOPE ENGINEERING; TRAINING SAMPLE;

CONJUGATE GRADIENT METHOD; DEFORMATION; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); GENETIC ALGORITHMS; MATLAB; OPTIMIZATION; RADAR ANTENNAS; SUPPORT VECTOR MACHINES; TIME SERIES;

TIME SERIES ANALYSIS;

EID: 70350714884     PISSN: 10006915     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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