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Found 4 papers, 0 papers with code
Boundary-to-Solution Mapping for Groundwater Flows in a Toth Basin
In this paper, the authors propose a new approach to solving the groundwater flow equation in the Toth basin of arbitrary top and bottom topographies using deep learning.
Bayesian Parameter Estimations for Grey System Models in Online Traffic Speed Predictions
This paper presents Bayesian parameter estimation for first order Grey system models' parameters (or sometimes referred to as hyperparameters).
Improved Grey System Models for Predicting Traffic Parameters
To evaluate the performance of the proposed models, they are compared against a set of benchmark models: GM(1, 1) model, Grey Verhulst models with and without Fourier error corrections, linear time series model, and nonlinear time series model.
Cycle-to-Cycle Queue Length Estimation from Connected Vehicles with Filtering on Primary Parameters
The results show that with Kalman and Particle filters, parameter estimators are able to find the true values within 15 minutes and meet and surpass the accuracy of known parameter scenarios especially for low market penetration rates.
