Optimal piecewise-linear approximation algorithms for complex dependencies

被引：3

作者：

Bauman, EV ^{[1
]}

Dorofeyuk, AA ^{[1
]}

Kornilov, GV ^{[1
]}

机构：

[1] Russian Acad Sci, Trapeznikov Inst Control Sci, Moscow, Russia

来源：

AUTOMATION AND REMOTE CONTROL | 2004年 / 65卷 / 10期

关键词：

Mechanical Engineer; Linear Function; Input Parameter; System Theory; Approximation Algorithm;

D O I：

10.1023/B:AURC.0000044275.62735.a9

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Methods for fuzzy piecewise-linear approximation based on the general variational approach to data classification analysis are described. The underlying idea is to partition the space of variables (input parameters) into domains in each of which a function (dependence) that is complicated in the whole space is approximated by a linear function.

引用

页码：1667 / 1674

页数：8

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