About this document
Optical Data for Metal Smelting Prediction by xiaoxiao20030331 is a document available to read on EtoBox.
The document discusses a project focused on predicting temperature and key element content in metal smelting using optical information data. It outlines the methodology involving polynomial fitting and a BP neural network for model prediction, achieving high accuracy through optimization with a genetic algorithm. Key findings include significant improvements in prediction accuracy for both temperature and key element content after applying the neural network model.
- Author
- xiaoxiao20030331
- Language
- EN