人工神经网络数字化实现的SEU容忍度证据:一年MPTB飞行结果

1999 Fifth European Conference on Radiation and Its Effects on Components and Systems. RADECS 99 (Cat. No.99TH8471) Pub Date : 1999-09-13 DOI:10.1109/RADECS.1999.858648

R. Velazco, P. Cheynet, A. Tissot, J. Haussy, J. Lambert, R. Ecoffet

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引用次数: 16

摘要

微电子和光子学试验台(MPTB)携带24项实验，搭载在科学卫星上，自1997年11月以来一直在高辐射轨道上运行。本文介绍了其中两个实验的一年飞行结果，并将其编程以模拟用于纹理分析的人工神经网络(ANN)。遥测数据提供了人工神经网络固有容错特性的证据。

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Evidences of SEU tolerance for digital implementations of artificial neural networks: one year MPTB flight results

The Microelectronics and Photonics Testbed (MPTB) carrying twenty-four experiments on-board a scientific satellite has been in a high radiation orbit since November 1997. This paper presents one year flight results of two of these experiments programmed to emulate an Artificial Neural Network (ANN) devoted to texture analysis. Telemeterd data provide evidences of the ANN intrinsic fault tolerance properties.

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1999 Fifth European Conference on Radiation and Its Effects on Components and Systems. RADECS 99 (Cat. No.99TH8471)

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