基于K-Means聚类与Ridge回归算法的煤炭发热量预测研究

乔世超, 陈衡, 李博, 潘佩媛, 徐钢

Research on Coal Calorific Value Prediction Based on K-Means Clustering and Ridge Regression Algorithm

Shichao QIAO, Heng CHEN, Bo LI, Peiyuan PAN, Gang XU

表2 煤种参数范围 (%)

Tab. 2 Range of coal type parameters

煤种 Mar Aar FC，ar 高固定碳煤 2.12~15.90 11.94~33.91 46.99~71.03 高灰分煤 3.63~19.51 18.14~48.52 31.46~49.76 高水分煤 9.12~29.03 4.40~23.58 34.17~54.95