Fault Detection in Discrete Event Based Distributed Systems by Forecasting Message Sequences with Neural Networks
Abstract: In reliable systems fault detection is essential for ensuring the correct behavior. Todays automotive electronical systems consists of 30 to 80 electronic control units which provide up to 2.500 atomic functions. Because of the growing dependencies between the different functionality, very complex interactions between the software functions are often taking place.
External IDs:dblp:conf/ki/LangerEK09
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