公开(公告)号：US12087407B2

公开(公告)日：2024-09-10

申请号：US16811844

申请日：2020-03-06

Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED

Inventor： Vivek Gupta ,  Shreeballav Sahoo ,  Amar Ratanlal Bafna

IPC: G16C20/10 ,  G06F3/0482 ,  G06F18/2113 ,  G06N3/08 ,  G06N5/01 ,  G06N20/00 ,  G16C20/70 ,  G16C20/80

CPC classification number: G16C20/10 ,  G06F3/0482 ,  G06F18/2113 ,  G06N3/08 ,  G06N5/01 ,  G06N20/00 ,  G16C20/70 ,  G16C20/80

Abstract: A chemical product formulation system automatically generates seed formulae from historic experiments data for the synthesis of a chemical product. Independent and dependent features are identified from the historic experiments data and feature importance scores are calculated using a supervised machine learning (ML) model. The feature importance scores are used to build data structures from which analytical rules are extracted. The analytical rules are further processed to derive the seed formulae which are user-editable. The intermediate formulae generated via user edits of the seed formulae are further validated and approved in order to be used as the final formulae which are employed for the synthesis of the chemical product.