Angan Mukherjee

Hybrid Series/Parallel All-Nonlinear Dynamic-Static Neural Networks: Development, Training, and Application to Chemical Processes

Angan Mukherjee, Debangsu Bhattacharyya · Industrial & Engineering Chemistry Research · 2023 · 21 citations · Full text

Engineering, Chemical Engineering, Machine Learning +16

On the development of steady-state and dynamic mass-constrained neural networks using noisy transient data

Angan Mukherjee, Debangsu Bhattacharyya · Computers & Chemical Engineering · 2024 · 13 citations · Full text

Engineering, Computational Engineering, Computer Science +13

Development of hybrid first principles – artificial intelligence models for transient modeling of power plant superheaters under load-following operation

Angan Mukherjee, Vivek Saini, Samuel Adeyemo et al. · Applied Thermal Engineering · 2024 · 13 citations · Full text

Engineering, Electrical Engineering, Systems Engineering +17

Development of Steady-State and Dynamic Mass and Energy Constrained Neural Networks for Distributed Chemical Systems Using Noisy Transient Data

Angan Mukherjee, Debangsu Bhattacharyya · Industrial & Engineering Chemistry Research · 2024 · 12 citations · Full text

Computing, Chemical Engineering, Computer Science +16

All‐nonlinear static‐dynamic neural networks versus Bayesian machine learning for data‐driven modelling of chemical processes

Angan Mukherjee, Samuel Adeyemo, Debangsu Bhattacharyya · The Canadian Journal of Chemical Engineering · 2024 · 11 citations

Engineering, Chemical Engineering, Computer Science +13