[HTML][HTML] Data-driven method for the improving forecasts of local weather dynamics
This paper describes the modeling approach for lower atmosphere dynamics in a selected
location. The purpose of this model is to provide short-term and long-term forecasts of the …
location. The purpose of this model is to provide short-term and long-term forecasts of the …
A hybrid Newton–Raphson and particle swarm optimization method for target motion analysis by batch processing
Bearing-only target motion analysis (BO-TMA) by batch processing remains a challenge due
to the lack of information on underwater target maneuvering and the nonlinearity of sensor …
to the lack of information on underwater target maneuvering and the nonlinearity of sensor …
[HTML][HTML] Simulation of variational Gaussian process NARX models with GPGPU
Gaussian processes (GP) regression is a powerful probabilistic tool for modeling nonlinear
dynamical systems. The downside of the method is its cubic computational complexity with …
dynamical systems. The downside of the method is its cubic computational complexity with …
[PDF][PDF] Več kot 30 let uporabe umetne inteligence na področju meteorologije v Sloveniji
MZ Božnar, P Mlakar, B Grašič - fgg-web.fgg.uni-lj.si
Predgovor 10. januarja 2024 je ECMWF izdal sporočilo za javnost o uporabi in načrtih za
uporabo strojnega učenja v procesu napovedovanja vremena:» Na zadnjih dveh zasedanjih …
uporabo strojnega učenja v procesu napovedovanja vremena:» Na zadnjih dveh zasedanjih …