The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 15, 2014
Filed:
May. 23, 2012
Muhammad Imtiaz Hossain, Dhahran, SA;
Tarek Ahmed Helmy El-basuny, Dhahran, SA;
Abdulazeez Abdulraheem, Dhahran, SA;
Moustafa Elshafei, Dhahran, SA;
Lahouari Ghouti, Dhahran, SA;
Amar Khoukhi, Dhahran, SA;
Syed Masiur Rahman, Dhahran, SA;
Md. Rafiul Hassan, Dhahran, SA;
Muhammad Imtiaz Hossain, Dhahran, SA;
Tarek Ahmed Helmy El-Basuny, Dhahran, SA;
Abdulazeez Abdulraheem, Dhahran, SA;
Moustafa Elshafei, Dhahran, SA;
Lahouari Ghouti, Dhahran, SA;
Amar Khoukhi, Dhahran, SA;
Syed Masiur Rahman, Dhahran, SA;
Md. Rafiul Hassan, Dhahran, SA;
King Fahd University of Petroleum and Minerals, Dhahran, SA;
Abstract
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.