Title :
SEU experiments on an Artificial Neural Network implemented by means of digital processors
Author :
Velazco, R. ; Assoum, A. ; Cheynet, Ph. ; Olmos, M. ; Ecoffet, R.
Author_Institution :
Lab. Logiciels Syst. Reseaux, IMAG, Grenoble, France
fDate :
12/1/1996 12:00:00 AM
Abstract :
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
Keywords :
ion beam effects; microprocessor chips; neural chips; space vehicle electronics; SEU simulation; artificial neural network; dedicated neural processor; digital processor; general purpose microprocessor; heavy ion ground test; protonic whistler detection; space hardware; Artificial neural networks; Biological system modeling; Character recognition; Fault tolerance; Hardware; Microprocessors; Neurons; Optical noise; Robustness; Very large scale integration;
Journal_Title :
Nuclear Science, IEEE Transactions on
