Title :
Neural Networks Based Sensor Design and Evaluation
Author :
Zhu, Fei ; Liang, Zizeng ; Hou, Zengguang ; Wang, Xiuqing ; Tan, Min
Author_Institution :
Chinese Acad. of Sci., Beijing
Abstract :
This paper mainly focuses on the modelling of the frequency output and evaluating the performance of the high precision humidity and temperature sensor which is designed for a wireless sensor network based on a kind of neural networks. Firstly, some backgrounds of neural networks and the sensor are described, and then, the two problems in the design of the sensor are given. Secondly, the possibility of solving the two problems using neural networks is given. Thirdly, in order to solve the two problems, a kind of three-layer multilayer perceptrons (MLP) networks is constructed to testify the new modelling method. Finally, experiment results are presented to show the feasibilities and effectiveness of the neural networks method.
Keywords :
computerised instrumentation; humidity sensors; multilayer perceptrons; temperature sensors; high precision humidity; humidity sensor; neural networks; sensor design; temperature sensor; three-layer multilayer perceptrons networks; wireless sensor network; Design automation; Frequency; Gas detectors; Humidity; Intelligent sensors; Neural networks; Sensor phenomena and characterization; Signal processing algorithms; Temperature sensors; Wireless sensor networks; MLP; Model; Neural Network; Sensor;
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
DOI :
10.1109/ICMA.2007.4303854
