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