**Chapter 10**

*Deep Learning Applications*

[67] Peng C, Lu RW, Kang O, Kai W. Batch process fault detection for multistage broad learning system. Neural Networks. 2020;129:298-312.

Developing ANN based virtual/soft sensors for industrial problems. IFAC-PapersOnLine. 2016;49(1):100-105.

Christofides PD. Real-time optimization and control of nonlinear processes using machine learning. Mathematics.

[70] Wu Z, Tran A, Ren YM, Barnes CS,

predictive control of phthalic anhydride synthesis in a fixed-bed catalytic reactor via machine learning modeling. Chem

[68] Kamat S, Madhavan KP.

[69] Zhang Z, Wu Z, Rincon D,

Chen S, Christofides PD. Model

Eng Res Des. 2019;145:173-183.

AIChE J. 2020;66(5):1-18.

Eng. 2018;21(2):1-5.

Processes. 2019;7(11).

[71] Chen S, Wu Z, Christofides PD. A cyber-secure control-detector architecture for nonlinear processes.

[72] Hernavs J, Ficko M, Berus L, Rudolf R, Klančnik S. Deep Learning in Industry 4 . 0 – Brief Overview. J Prod

[73] Duever TA. Data science in the chemical engineering curriculum.

2019;7(10):1-25.

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