Prediction interval-based neural network modelling of polystyrene polymerization reactor–A new perspective of data-based modelling
MA Hosen, A Khosravi, S Nahavandi… - … Research and Design, 2014 - Elsevier
In this paper, prediction interval (PI)-based modelling techniques are introduced and applied
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …
Prediction interval-based neural network modelling of polystyrene polymerization reactor-A new perspective of data-based modelling.
MA Hosen, A Khosravi, S Nahavandi… - … Research & Design …, 2014 - search.ebscohost.com
In this paper, prediction interval (Pl)-based modelling techniques are introduced and applied
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …
[PDF][PDF] Prediction interval-based neural network modelling of polystyrene polymerization reactor–A new perspective of data-based modelling
MA Hosen, A Khosravi, S Nahavandi, D Creighton - 2014 - academia.edu
abstract In this paper, prediction interval (PI)-based modelling techniques are introduced
and applied to capture the nonlinear dynamics of a polystyrene batch reactor system …
and applied to capture the nonlinear dynamics of a polystyrene batch reactor system …
Prediction interval-based neural network modelling of polystyrene polymerization reactor-A new perspective of data-based modelling
MA Hosen, A Khosravi, S Nahavandi… - Chemical …, 2014 - ui.adsabs.harvard.edu
In this paper, prediction interval (PI)-based modelling techniques are introduced and applied
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …
Prediction interval-based neural network modelling of polystyrene polymerization reactor-A new perspective of data-based modelling
MA Hosen, A Khosravi… - Chemical …, 2014 - researchbank.swinburne.edu.au
In this paper, prediction interval (PI)-based modelling techniques are introduced and applied
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …
Prediction interval-based neural network modelling of polystyrene polymerization reactor-a new perspective of data-based modelling
A Hosen, A Khosravi, S Nahavandi, D Creighton - 2023 - dro.deakin.edu.au
In this paper, prediction interval (PI)-based modelling techniques are introduced and applied
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …
Prediction interval-based neural network modelling of polystyrene polymerization reactor–A new perspective of data-based modelling
MA Hosen, A Khosravi, S Nahavandi… - … Research and Design, 2014 - infona.pl
In this paper, prediction interval (PI)-based modelling techniques are introduced and applied
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …
Prediction interval-based neural network modelling of polystyrene polymerization reactor-a new perspective of data-based modelling
A Hosen, A Khosravi, S Nahavandi, D Creighton - 2023 - dro.deakin.edu.au
In this paper, prediction interval (PI)-based modelling techniques are introduced and applied
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …
to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN …