Title :
Fault tolerance of lateral interaction networks
Author_Institution :
Dept. of Comput. Sci., York Univ., UK
Abstract :
An examination of the fault tolerance properties of lateral interaction networks is presented. The general concept of a soft problem is discussed along with the resulting implications for reliability. Fault injection experiments were performed using several input datasets with differing characteristics in conjunction with various combinations of network parameters. It was found that a high degree of tolerance to faults existed and that the reliability of operation degraded smoothly. This result was independent of both the nature of the input dataset and to a lesser extent of the choice of network parameters
Keywords :
fault tolerant computing; neural nets; pattern recognition; reliability; fault injection experiments; input dataset; lateral interaction networks; pattern recognition; reliability; Artificial neural networks; Computer aided software engineering; Computer architecture; Computer network reliability; Computer science; Degradation; Fault tolerance; Neural networks; Neurons; Uncertainty;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170654