Combines automata learning and model-based testing to generate training data for recurrent neural networks modeling hybrid systems, yielding fivefold lower crash-detection error on a platooning scenario with up to 1000x fewer samples than random data.
IEEE Transactions on Software Engineering 17(6), 591–603 (1991)
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Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version)
Combines automata learning and model-based testing to generate training data for recurrent neural networks modeling hybrid systems, yielding fivefold lower crash-detection error on a platooning scenario with up to 1000x fewer samples than random data.