摘要
函数逼近问题一直是模式识别领域的热点,单一函数逼近模型已经能够有效地逼近非线性曲线,但无法实现对多条曲线的同时逼近。本文应用组合函数逼近模型实现了对多条曲线的同时逼近。
Function approximation problem is always a hotpoint of Pattern Recognition. Single function approximation model can approximate nonlinear curves. But it doesn＇ t focus on multi - function approximation. Tiffs paper tries to combine several function approximation models, and discusses its effect on multi- function approximation.
出处
《计算机与数字工程》
2006年第6期126-128,160,共4页
Computer & Digital Engineering
关键词
函数逼近模型
组合
多类函数
function approximation model, combination, multi - function
