Design Space Exploration
ESI MINESET Predictive Analytics Solution enables users to explore a large number of design options and identify those with the most beneficial parameter values.
By turning complex Machine Learning algorithms and Data Visualization methods into easy-to-use visual and interactive application, ESI brings the power of artificial intelligence into the hands of engineers as an optimization and simulation data post-processing and analysis aid. The visual analytics options presented by ESI MINESET allow users to rapidly explore the effects of design choices, reveal relationships among input factors and understand their effects on response variables. We accelerate the Design of Experiment process by focusing on the relevant information from the simulation outputs.
The entire ESI Data Analytics platform ties the multi-domain modeling and simulation space into a complete cycle of product performance by employing a suite of design exploration options to:
- reveal what input has the largest influence on the response variable
- quantify the impact of the parameter values on the overall outcome
- characterize the input variables leading to either positive or negative outcomes
- provide a holistic and integrated view of any and all stages of the design process
Contact our Design Space Exploration team for more information.
Read an articles about ESI MINESET:
- Engineering.com: "Machine Learning Analyzes Design Spaces and Big Data"
- 3D CAD World: "ESI MINESET brings big-data analytics to virtual performance engineering"
