Speakers : Tom Tao, JMP China Pharmaceutical Industry Data Analysis Consultant
the speech topic : A machine learning method for automatically obtaining Design Space through simulation experiments
speech abstract :
In the process of process characterization, defining Design Space is a very important link. Using Monte Carlo simulation to simulate is to define Design Space It is a very good method, but in this process, it is often necessary to modify the upper and lower limits of the process parameters many times and repeatedly, and it often happens that manual modification cannot obtain reasonable results. Then, want to automatically get Design Space Is there a better way? This presentation will demonstrate how to automatically obtain Design Space , to provide you with ideas and references.
