Engineering
8 years ago

Coke Strength Prediction Revolutionizes Coal Industry, Enhancing Efficiency and Sustainability.

Shandong Metallurgy
Prediction of Coke Strength Based on Multiple Linear Regression Analysis
Wu Xianxi

Paper Summary

The researchers predicted coke strength by analyzing coal quality indexes using a statistical method called multiple linear regression. They found a model that can accurately predict coke strength with an error of less than 5%.

Related papers

Theme background image
Engineering
3 years ago

Composite Material Machining Breakthrough: Regression Models Unlock Unprecedented Precision

Machining Monitoring
Comminution Processing
Electrical Discharge Machining
Theme background image
Engineering
8 years ago

Motorway Pollution Levels Soar with Traffic Surge, Threatening Public Health

Fuel Estimation
Air Monitoring
Air Pollution
Theme background image
Engineering
8 years ago

Thermal error modeling breakthrough slashes machine tool costs, boosts productivity.

Dimensional Metrology
Iterative Learning
Optoelectronic Systems