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WEB-22-22: AI Process Optimization in Closed Loop

Abi Mukund, Product Strategy Manager, Imubit; Ran Rosin, Head of Product, Imubit

Format:
Streaming Video

Associate Member, International Member, Mid Stream Member, Petrochemical Member, Refining Member, Special/Temporary Member - $0.00
Government, NonMember - $150.00

Description:

In this webinar, we will look under the hood of Imubit’s Closed Loop Neural Network Platform, specifically Imubit’s Deep Learning Process Controller ™ (DLPC). We will cover some of the fundamental concepts of Artificial Intelligence (AI) and spotlight some of the powerful capabilities of Imubit’s Deep Learning that allow refiners to execute key operating strategies in closed loop. Walking through a simple example of an FCCU Main Fractionator, learn the basics of how an Imubit implementation engineer develops an DLPC model to optimize quality parameters. We will go through the development process and highlight the why and the how of each step. By the end of the session, you will walk away with an understanding of DLPC’s capabilities and how Imubit’s CLNN Platform executes your most valuable operating strategies continuously minute-by-minute.

Product Details:

Product ID: WEB-22-22
Publication Year: 2022