coastal GWL prediction
Published: 16 April 2024| Version 1 | DOI: 10.17632/29zmmnyj7h.1
Contributor:
松埔 李Description
Raw output and analysis scripting for prototype tests associated with the paper 'A hybrid machine learning model for predicting the groundwater level in a coastal aquifer.'
Files
Steps to reproduce
The dataset was collected from the project and online. In this file code is written based on Matlab.BP_ann_based_on_PSO_optimisation.m and BP_ann_model.m are the experimental models.Input_dataset_for_observation_Well_x (where x is 3,5,9,10) is the model's Input data. The model can be run to get the evaluation metrics after adjusting the model according to the number of hidden layers provided in the article.
Institutions
- Jilin University
Categories
Groundwater, Machine Learning