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Found 4 papers, 0 papers with code
Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning
We describe the algorithm, the data, the intuition behind taking a MIL approach, and a comparative analysis of the proposed algorithm with baseline models.
Stochastic Gradient Based Extreme Learning Machines For Online Learning of Advanced Combustion Engines
The algorithm is applied to two case studies: An online regression learning for system identification of a Homogeneous Charge Compression Ignition (HCCI) Engine and an online classification learning (with class imbalance) for identifying the dynamic operating envelope of the HCCI Engine.
Nonlinear Model Predictive Control of A Gasoline HCCI Engine Using Extreme Learning Machines
Using the ELM engine models, an MPC based control algorithm with a simplified quadratic program update is derived for real time implementation.
Modeling The Stable Operating Envelope For Partially Stable Combustion Engines Using Class Imbalance Learning
In this paper, a machine learning based approach is employed to identify the stable operating boundary of HCCI combustion directly from experimental data.
