Patent №
US 8,700,549
Granted
2014-04-15
Filed 2012
Owner
KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
Lab
—
AI components
6
ml · nlp · vision · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
13479025
The method of predicting gas composition in a multistage separator includes solutions to the regression problem of gas composition prediction that are developed using an ensemble of hybrid computational intelligence (CI) models. Three separate homogeneous and one heterogeneous ensemble of hybrid computational intelligence (EHCI) models are developed using a parallel scheme. The homogeneous models have the same types of CI models used as base learners, and the heterogeneous model has of different types of CI models used as base learners. Various popular CI models, including multi-layer perceptron (MLP), support vector regression (SVR) and adaptive neuro-fuzzy inference system (ANFIS), are used as base learners of ensemble models.
AI classification
Ownership
KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
assignment · 282590564
Assignors
HOSSAIN, MUHAMMAD IMTIAZ, MR., EL-BASUNY, TAREK AHMED HELMY, DR., ABDULRAHEEM, ABDULAZEEZ, DR., ELSHAFEI, MOUSTAFA, DR., GHOUTI, LAHOUARI, DR., KHOUKI, AMAR, DR., RAHMAN, SYED MASIUR, DR., HASSAN, MD. RAFIUL, DR.
On an employer assignment, the assignors are typically the inventors.