Abstract
In this work, a new approach is proposed to design the neutron angle and fluence radiation sensor. It is based on an Artificial Neural Network (ANN) model which has the advantage of efficient nonlinear mapping in addition to noise tolerance. This model allows us to obtain the angle and the fluence radiation from the drain source current, the drain source voltage, the gate source voltage and the temperature parameters. The obtained results are nearly closed to the experimental results in the literature.
Publisher
Trans Tech Publications, Ltd.
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Reference14 articles.
1. Gauthier, M. and A. Dantas, SingleEvent Effects in Aircraft Systems, paper presented at the Sixth Annual SEE Conference, April, (1988).
2. W. Ross Doherty, Incorporation of endf-v neutron cross section data for calculating neutron-induced single event upsets, ieee transactions on nuclear science, vol. 36, no. 6, december (1989).
3. Haider F. Abdul Amir *, Abdulah Chik, Nuclear Instruments and Methods in Physics Research B, Nuclear Instruments and Methods in Physics Research B 267 (2009) 3032–3036.
4. Kouda Souhil, Dibi Zohir, and Meddour Fayçal : ANN Modeling of Resistive Humidity Sensor, ICEEDT conference (2008).
5. Burak Okcan, and Tayfun Akin : A Low-Power Robust Humidity Sensor in a Standard CMOS Process, IEEE TRANSACTIONS ON ELECTRON DEVICES, pp.3071-3078 (2007) 54.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献