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

Author:

Sheta Alaa,Braik Malik,Al-Hiary Heba

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference38 articles.

1. Tennessee eastman challenge archive. depts.washington.edu/control/LARRY/TE/download.html . Accessed 17 Jan 2018

2. Al-Hiary H, Braik M, Sheta A, Ayesh A (2008) Identification of a chemical process reactor using soft computing techniques. In: IEEE International conference on fuzzy systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE, pp 845–853

3. Al-Hiary H, Sheta A (2006) Identification and model predictive controller design of the Tennessee Eastman chemical process using ANN. In: Proceeding of 4th international multi-conference on computer science and information technology (CSIT 2006), Amman, Jordan, April 5-7, vol 2, pp 189–198

4. Bathelt A, Ricker N, Jelali M (2015) Revision of the Tennessee Eastman process model. IFAC-PapersOnLine 48(8):309–314

5. Braik M, Sheta A, Arieqat A (2008) A comparison between GAs and PSO in training ANN to model the TE chemical process reactor. In: Proceedings of the AISB 2008 convention in communication, interaction and social intelligence, vol 1, p 24

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