Modeling vertical roller mill raw meal residue by implementing neural network

Hendri Fernandes; Abdul Halim; Wahidin Wahab

doi:10.1109/ICIRD47319.2019.9074747

Modeling vertical roller mill raw meal residue by implementing neural network

Hendri Fernandes, Abdul Halim, Wahidin Wahab

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This study proposes a method for modeling the Vertical Roller Mill (VRM) to predict residue 90 micron and residue 200 micron of the raw meal product using Back Propagation Neural Network (BPNN). The modelling step is input preparation, Artificial Neural Network (ANN) structure determination, optimizer and loss function selection, training ANN and model evaluation. In this research, RMSprop optimizer and MSE loss function are used, and show better modelling results than others to predict residue data quality of the VRM raw meal products.

Original language	English
Title of host publication	2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728128252
DOIs	https://doi.org/10.1109/ICIRD47319.2019.9074747
Publication status	Published - Jun 2019
Event	2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019 - Depok, Indonesia Duration: 28 Jun 2019 → 30 Jun 2019

Publication series

Name	2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

Conference

Conference	2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019
Country/Territory	Indonesia
City	Depok
Period	28/06/19 → 30/06/19

Keywords

BPNN
Loss Function
Model
Optimizer
Residue
VRM

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICIRD47319.2019.9074747

Cite this

Fernandes, H., Halim, A., & Wahab, W. (2019). Modeling vertical roller mill raw meal residue by implementing neural network. In 2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019 Article 9074747 (2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIRD47319.2019.9074747

@inproceedings{153ae202a5ce47ed867ceb3a4345018e,

title = "Modeling vertical roller mill raw meal residue by implementing neural network",

abstract = "This study proposes a method for modeling the Vertical Roller Mill (VRM) to predict residue 90 micron and residue 200 micron of the raw meal product using Back Propagation Neural Network (BPNN). The modelling step is input preparation, Artificial Neural Network (ANN) structure determination, optimizer and loss function selection, training ANN and model evaluation. In this research, RMSprop optimizer and MSE loss function are used, and show better modelling results than others to predict residue data quality of the VRM raw meal products.",

keywords = "BPNN, Loss Function, Model, Optimizer, Residue, VRM",

author = "Hendri Fernandes and Abdul Halim and Wahidin Wahab",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019 ; Conference date: 28-06-2019 Through 30-06-2019",

year = "2019",

month = jun,

doi = "10.1109/ICIRD47319.2019.9074747",

language = "English",

series = "2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019",

address = "United States",

}

Fernandes, H, Halim, A & Wahab, W 2019, Modeling vertical roller mill raw meal residue by implementing neural network. in 2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019., 9074747, 2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019, Depok, Indonesia, 28/06/19. https://doi.org/10.1109/ICIRD47319.2019.9074747

Modeling vertical roller mill raw meal residue by implementing neural network. / Fernandes, Hendri; Halim, Abdul; Wahab, Wahidin.
2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9074747 (2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modeling vertical roller mill raw meal residue by implementing neural network

AU - Fernandes, Hendri

AU - Halim, Abdul

AU - Wahab, Wahidin

PY - 2019/6

Y1 - 2019/6

N2 - This study proposes a method for modeling the Vertical Roller Mill (VRM) to predict residue 90 micron and residue 200 micron of the raw meal product using Back Propagation Neural Network (BPNN). The modelling step is input preparation, Artificial Neural Network (ANN) structure determination, optimizer and loss function selection, training ANN and model evaluation. In this research, RMSprop optimizer and MSE loss function are used, and show better modelling results than others to predict residue data quality of the VRM raw meal products.

AB - This study proposes a method for modeling the Vertical Roller Mill (VRM) to predict residue 90 micron and residue 200 micron of the raw meal product using Back Propagation Neural Network (BPNN). The modelling step is input preparation, Artificial Neural Network (ANN) structure determination, optimizer and loss function selection, training ANN and model evaluation. In this research, RMSprop optimizer and MSE loss function are used, and show better modelling results than others to predict residue data quality of the VRM raw meal products.

KW - BPNN

KW - Loss Function

KW - Model

KW - Optimizer

KW - Residue

KW - VRM

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U2 - 10.1109/ICIRD47319.2019.9074747

DO - 10.1109/ICIRD47319.2019.9074747

M3 - Conference contribution

AN - SCOPUS:85084560643

T3 - 2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

BT - 2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

Y2 - 28 June 2019 through 30 June 2019

ER -

Fernandes H, Halim A, Wahab W. Modeling vertical roller mill raw meal residue by implementing neural network. In 2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9074747. (2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019). doi: 10.1109/ICIRD47319.2019.9074747

Modeling vertical roller mill raw meal residue by implementing neural network

Abstract

Publication series

Conference

Keywords

UN SDGs

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