2ND DERIVATIVE DEPENDENT PLACEMENT OF RBF CENTERS

被引：10

作者：

SANCHEZ, VD

机构：

[1] German Aerospace Research Establishment, DLR Oberpfaffenhofen, Institute for Robotics and System Dynamics

来源：

NEUROCOMPUTING | 1995年 / 7卷 / 03期

关键词：

CENTER PLACEMENT; DATA FITTING; FUNCTION APPROXIMATION; NETWORK SYNTHESIS; RADIAL BASIS FUNCTIONS;

D O I：

10.1016/0925-2312(94)00082-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To improve the approximation capabilities of RBF networks, centers of adequate widths should be placed more densely on regions of higher than on regions of lower absolute second derivative of the function to be approximated. This new concept is called second derivative dependent center placement. Using a test function especially designed to study this relationship, several RBF networks are designed and compared.

引用

页码：311 / 317

页数：7

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