Integration of support vector regression and annealing dynamical learning algorithm for MIMO system identification

Expert Systems with Applications

Volumn 38, Issue 12, 2011, Pages 15224-15233

  Ko, Chia Nan ^a  

^a NAN KAI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Annealing dynamical learning algorithm; Particle swarm optimization; Radial basis function network; Support vector regression; System identification

Indexed keywords

COMPUTATIONALLY EFFICIENT; HIDDEN LAYER NODES; INITIAL STRUCTURES; LEARNING RATES; MULTI-INPUT MULTI-OUTPUT SYSTEM; OPTIMIZATION METHOD; PARTICLE SWARM; RADIAL BASIS FUNCTIONS; ROBUST APPROACHES; SIMULATION RESULT; SPEED OF CONVERGENCE; SUPPORT VECTOR REGRESSION; SUPPORT VECTOR REGRESSIONS; SYSTEM IDENTIFICATIONS; TIME VARYING;

ANNEALING; DECODING; MIMO SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO); RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS;

LEARNING ALGORITHMS;

EID: 80052033224     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.05.078     Document Type: Article

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