A runoff prediction method based on hyperparameter optimisation of a kernel extreme learning machine with multi-step decomposition
X Zhang, F Liu, Q Yin, Y Qi, S Sun - Scientific Reports, 2023 - nature.com
To improve the accuracy of runoff forecasting, a combined forecasting model is established
by using the kernel extreme learning machine (KELM) algorithm optimised by the butterfly …
by using the kernel extreme learning machine (KELM) algorithm optimised by the butterfly …
Inferring Underwater Topography with FINN
Spatiotemporal partial differential equations (PDEs) find extensive application across
various scientific and engineering fields. While numerous models have emerged from both …
various scientific and engineering fields. While numerous models have emerged from both …
3D Lattice Deformation Prediction with Hierarchical Graph Attention Networks
We present a cluster-based hierarchical graph attention network (HIGAT) architecture
tailored for predicting deformations in 3D lattice structures under load. This architecture …
tailored for predicting deformations in 3D lattice structures under load. This architecture …