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Found 3 papers, 0 papers with code
Surrogate Assisted Strategies (The Parameterisation of an Infectious Disease Agent-Based Model)
Also, we show that DYnamic COOrdindate Search Using Response Surface Models with XGBoost as a surrogate attains in combination the highest probability of approximating a cumulative synthetic daily infection data distribution and achieves the most significant speedup with regards to our analysis.
Surrogate Assisted Methods for the Parameterisation of Agent-Based Models
We propose an ABMS framework which facilitates the effective integration of different sampling methods and surrogate models (SMs) in order to evaluate how these strategies affect parameter calibration and exploration.
Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling
In this paper, we compare the Gated Recurrent Unit (GRU) and the Long Short-Term Memory (LSTM) network.
