Three-day and Twenty-day Compressive Strength Predictions of Cement Clinker Based on PSO-ELM

Author:

Qi Guangwei1,Yu Hongliang1,Lu Shizeng1,Zhang Rongfeng1,Dong Huijun1,Zhang Chongshan2

Affiliation:

1. University of Jinan,School of Electrical Engineering,Jinan,China

2. Zhengyuan Geographic Information Group Co.,Jinan,China

Publisher

IEEE

Reference14 articles.

1. Cement industry of China: Driving force, environment impact and sustainable development

2. Main Measures to Improve Cement Clinker Strength[J];Huang;Cement Technology

3. A Brief Discussion on Factors Affecting Clinker Quality[J];Wang;China Cement,2019

4. Prediction, and Rate Determination of Cement Clinker Strength Using Quadratic Regression Analysis[J];Fang;Journal of Nanjing University of Technology (Natural Science Edition),1993

5. Prediction of Clinker Strength Using Multiple Regression Analysis[J];Wang;China Cement,2013

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