Self-organizing polynomial networks for time-constrained applications

IEEE Transactions on Industrial Electronics

Volumn 58, Issue 5, 2011, Pages 2019-2029

  Marić, Ivan ^a   Ivek, Ivan ^a  

^a RUDER BO KOVI INSTITUTE   (Croatia)

Author keywords

Approximation methods; embedded systems; group method of data handling (GMDH); modeling; real time (RT) systems

Indexed keywords

APPROXIMATION ERRORS; APPROXIMATION METHODS; ARTIFICIAL NEURAL NETWORK; CALCULATION PROCEDURE; ERROR MEASURES; EXECUTION SPEED; EXECUTION TIME; GROUP METHOD OF DATA HANDLING; LOW-COMPLEXITY; MEASUREMENT SYSTEM; METAMODELING; MINIMUM DESCRIPTION LENGTH; MODELING; PARAMETER ERROR; POLYNOMIAL NETWORKS; RATE MEASUREMENTS; REAL-TIME (RT) SYSTEMS; SELF ORGANIZING; STATIC SYSTEMS; SUPPORT VECTOR REGRESSIONS; SURROGATE MODEL;

APPROXIMATION THEORY; DATA HANDLING; EMBEDDED SYSTEMS; NEURAL NETWORKS;

REAL TIME SYSTEMS;

EID: 79954476483     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2010.2051934     Document Type: Article

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