【期刊论文】Feasibility study and optimization of limestone calcined clay composites for compressive strength using multi-layered explainable artificial intelligence models

Mohammad, Toaha | Ibrahim, Syed Muhammad | Ansari, Saad Shamim | Rehman, Ateekh Ur
机构：
AMU | King Saud University Industrial Engineering Department
语种：
英语
DOI：
10.1016/j.mtcomm.2024.109676
关键词：
LC 3 concrete | Sustainability | Explainable artificial intelligence (XAI) | Machine learning | White Box Models | Cementitious composite | PHASE ASSEMBLAGE | CEMENT | METAKAOLIN | HYDRATION
主题词：
Science & Technology | Technology | Materials Science, Multidisciplinary | Materials Science
摘要：
Interpretable white box machine learning models

原文链接：https://www.nstl.gov.cn/paper_detail.html?id=129a0a131106bc89bff91204a1f5970e