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Proceedings Paper

Neural network-based sensor modeling and its application
Author(s): Huichang Shi
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Paper Abstract

A new approach to sensor modeling based on neural network is presented. As an example, consider the operation of a radio frequency (RF) monitor. An inverse model of the RF receiver is obtained by using BPNN and improved learning algorithm. The present paper proposed another approach to sensor modeling based on a simple functional link neural network (FLNN). In sensor modeling, using a FLNN trained by an iterated algorithm, a set of coefficients are obtained accurately. In this paper an example is given to illustrate the method. It is simple to design and compact.

Paper Details

Date Published: 9 May 2000
PDF: 4 pages
Proc. SPIE 4077, International Conference on Sensors and Control Techniques (ICSC 2000), (9 May 2000); doi: 10.1117/12.385632
Show Author Affiliations
Huichang Shi, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 4077:
International Conference on Sensors and Control Techniques (ICSC 2000)
Desheng Jiang; Anbo Wang, Editor(s)

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