Real?Time Interactive Navigation on Input?Output Data Sets in Chemical Processes

Input-output data sets are ubiquitous in chemical process engineering. We introduce a real-time interactive navigation framework that provides several capabilities to the decision maker (DM). Once surrogate model is trained DM can perform what-if analyses both input and output spaces by manipulating sliders. An approximated convex hull spanned space supports reliable prediction close set. The has been tested on obtained with flowsheet simulator modeling real steam methane reforming process.