Study of RAN and its Application in Temperature Compensation for Sensors

被引：0

作者：

Pan Guo-feng ^{[1
]}

He Ping ^{[1
]}

Zhou Ya-tong ^{[1
]}

Gao Wei-xiang ^{[1
]}

机构：

[1] Hebei Univ Technol, Tianjin 300130, Peoples R China

来源：

PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年

关键词：

RAN; RBF; expansion constant; pressure sensor; temperature compensation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Resource Allocating Network(RAN) is a famous on-line RBF network algorithm, which distributes hidden nodes dynamically as required in the course of learning stage. The main characteristic of RAN is establishing a network of structure tightly packed, and studying speed quicker. RAN can avoid effectively the difficulty of selecting initial parameters, such as hidden nodes and expansion constant in RBF networks. And it can accomplish on-line learning. After verifying the validity by simulating experiment, we used RAN algorithm in the experiment of temperature compensation for pressure sensors. The results show that the convergence speed of RAN is superior to that of RBF networks, a satisfactory effect of error correction is acquired, and it can meet the requirement of practical application.

引用

页码：3335 / 3340

页数：6