Toward an optimal ensemble of kernel-based approximations with engineering applications

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn , Issue , 2006, Pages 2152-2158

  Sanchez, Egar ^a   Pintos, Salvador ^a   Queipo, Nestor V ^a  

^a UNIVERSIDAD DEL ZULIA   (Venezuela)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; ENHANCED RECOVERY; PROBLEM SOLVING; RADIAL BASIS FUNCTION NETWORKS; UNCERTAINTY ANALYSIS;

ENGINEERING APPLICATIONS; LOSS FUNCTION; POLYNOMIAL REGRESSION;

NEURAL NETWORKS;

EID: 40649093107     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ijcnn.2006.246987     Document Type: Conference Paper

References (41)