Work

Modeling the Tennessee Eastman chemical process reactor using bio-inspired feedforward neural network (BI-FF-NN)

Year: 2019

Type: article

Source: The International Journal of Advanced Manufacturing Technology

DOI: 10.1007/s00170-019-03621-5

Authors: Alaa Sheta, Malik Braik, Heba Al-Hiary

Institutions: Texas A&M University – Corpus Christi, Al-Balqa Applied University

Language: English

Topic: Fault Detection and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W2926312510

FWCI: 2.196

Cites: 32

Cited by: 28

Related to: 10