The previous blog post of the Deep Learning in Process Optimization series concerned building a deep recurrent neural network. This blog post is about the final stage: finding the optimal process values.
The previous blog post of the Deep Learning in Process Optimization series concerned data collection, exploratory data analysis and data preprocessing stages. This blog post is about the next stage: building a deep neural network.
If a plant produces too high emissions, the environment suffers from that and it will cause significant direct and indirect financial losses for the company. The emissions are usually caused by unbalanced process and therefore high emission is usually also a sign of bad efficiency.
Nomenclature: With “Industrial XR” I mean the AR / VR / MR / XR Utilization in more traditional industrial companies for business use, who for the most part undergoing a digitalisation transformation.