9 May 2000 Neural network-based sensor modeling and its application
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Proceedings Volume 4077, International Conference on Sensors and Control Techniques (ICSC 2000); (2000) https://doi.org/10.1117/12.385632
Event: International Conference on Sensors and Control Techniques (ICSC2000), 2000, Wuhan, China
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.
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Huichang Shi, Huichang Shi, } "Neural network-based sensor modeling and its application", Proc. SPIE 4077, International Conference on Sensors and Control Techniques (ICSC 2000), (9 May 2000); doi: 10.1117/12.385632; https://doi.org/10.1117/12.385632
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