SEU experiments on an artificial neural network implemented by means of digital processors

被引:3
作者
Velazco, R [1 ]
Assoum, A [1 ]
Cheynet, P [1 ]
Olmos, M [1 ]
Ecoffet, R [1 ]
机构
[1] CTR NATL ETUD SPATIALES,F-31055 TOULOUSE,FRANCE
关键词
D O I
10.1109/23.556882
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The SEU sensitivity of an Artificial Neural Network intended to be used in space to detect ''protonic whistlers'' is investigated We evaluate its behaviour in the presence of SEU-like faults for a hardware implementation, associating a general purpose microprocessor to a dedicated neural processor. Experimental results (SEU simulations and heavy ion ground tests) show the robustness of this implementation.
引用
收藏
页码:2889 / 2896
页数:8
相关论文
共 26 条
[1]   Robustness against SEU of an artificial neural network space application [J].
Assoum, A ;
Radi, NE ;
Velazco, R ;
Elie, F ;
Ecoffet, R .
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 1996, 43 (03) :973-978
[2]  
BEZERRA F, 1995, P RADECS 95
[3]  
CAO J, 1995, P ICNN 95, V2, P850
[4]  
CHEN D, 1994, P ICNN 94, V6, P4072
[5]  
CHIU CT, 1994, P FTCS, P360
[6]  
DAMARLA R, 1989, P EN INF TEHCN SE C, P328
[7]   THE USE OF NEURAL NETWORKS IN HIGH-ENERGY PHYSICS [J].
DENBY, B .
NEURAL COMPUTATION, 1993, 5 (04) :505-549
[8]  
DEVILLE Y, 1995, P ICANN 95 IND C SES
[9]  
Haykin S, 1998, NEURAL NETWORKS COMP
[10]  
HOLLER M, 1989, P INT JOINT C NEURAL, V2, P191