Using Safety Critical Artificial Neural Networks in Gas Turbine Aero-Engine Control
Kurd, Z.; Kelly, T.P. · White Rose Research Online
‘Safety Critical Artificial Neural Networks’ (SCANNs) have been previously defined to perform nonlinear function approximation and learning. SCANN exploits safety constraints to ensure identified failure modes are mitigated for highly-dependable roles. It represents both qualitative and quantitative knowledge using fuzzy rules and is described as a ‘hybrid’ …