Hybrid Machine Learning Models for Estimating Petroleum Hydrocarbon Concentration in Groundwater

Jupyter notebook containing scripts for training and evaluating machine learning models including long short-term memory network and classical regression models for continuous monitoring of petroleum hydrocarbons in groundwater. The design of a hybrid Kalman filter was also included, as well as the Jupyter notebooks for visualizing the results.

本数据集包含用于训练与评估机器学习模型的Jupyter记事本（Jupyter Notebook）脚本，涵盖长短期记忆网络（long short-term memory network）与经典回归模型，可实现地下水中石油烃的连续监测。此外，本数据集还收录了混合卡尔曼滤波器（Kalman Filter）的设计方案，以及用于可视化实验结果的Jupyter记事本。