About this document
PM2.5 CNN-Transformer DTU P2 by ironman936872 is a document available to read on EtoBox.
The document outlines a process for analyzing PM2.5 pollution data using Python, including data smoothing, multi-station comparisons, scaling, sequence creation for LSTM modeling, and evaluation of predictions. It details the steps taken to preprocess the data, build and train an LSTM model, and assess its performance using metrics like RMSE and MAE. Finally, it presents a visual comparison of actual versus predicted PM2.5 values, indicating that the model effectively captures the pollution trend.
- Author
- ironman936872
- Language
- EN