Machine learning to predict properties of fresh and
Of course, for such optimizations to be robust, it is critical that the model be trained with a comprehensive database that not only has a large volume (1000sto10,000s of unique datarecords) but also encompasses tremendous diversity (, substantial variations in chemistries of fly ashes and alkaline activation solutions; curing temperatures; mixing procedures; etc.).