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Nutchapon Chotigkrai. Data augmentation enhanced multilayer perceptron neural network model for catalytic CO2 methanation. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
Data augmentation enhanced multilayer perceptron neural network model for catalytic CO2 methanation
Name: Kittithat Kongtaworn
Organization :
Silpakorn University. Faculty of Engineering and Industrial Technology
Email :
kongtaworn_k@silpakorn.edu
Name: Panyanat Aonpong
Organization :
Silpakorn University. Faculty of Science
Email :
aonpong_p@silpakorn.edu
Name: Nutchapon Chotigkrai
Organization :
Silpakorn University. Faculty of Engineering and Industrial Technology
Email :
chotigkrai_n@silpakorn.edu
keyword:
Multilayer perceptrons
LCSH:
Catalysis
LCSH:
Carbon dioxide
Abstract:
CO2 methanation is beneficial not only for green-house gas abatement but also energy demand
support. Various catalysts and reaction conditions have been studied and its experimental data
were accumulated for decades. Machine learning is received wide attention due to the ability to
reveal insight from literature data. However, the size of experimental data is limited and
considerably small even accumulated for decades, affecting the accuracy and robustness of the
model. In this work, we used data augmentation technique to increase the size of dataset to 5
and 10 times for training multilayer perceptron neural network model. For default model
parameters, R2 and RMSE for predicting CO2 conversion were increased from (0.89, 10.5) to
(0.91, 9.7) and (0.92, 9.5) for 5 and 10 times training set, respectively. The best R2 and RMSE
of 0.94 and 7.6 were obtained by tuning hidden layer and maximum iteration. This work
demonstrates the advantage of applying data processing technique to improve the accuracy and
robustness of the model in catalyst domain
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-03-17
Issued:
2025-03-17
บทความ/Article
application/pdf
BibliograpyCitation :
In Thai Institute of Chemical Engineering and Applied Chemistry. The 33st Thai Institute of Chemical Engineering and Applied Chemistry International Conference (TIChE 2024) (pp.586-593). Bangkok : Thai Institute of Chemical Engineering And Applied Chemistry
eng
©copyrights King Mongkut's University of Technology North Bangkok
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ใช้เวลา
0.03323 วินาที
Kittithat Kongtaworn
| Title | Contributor | Type |
|---|---|---|
| Data augmentation enhanced multilayer perceptron neural network model for catalytic CO2 methanation
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kittithat Kongtaworn;Panyanat Aonpong;Nutchapon Chotigkrai | บทความ/Article |
Panyanat Aonpong
| Title | Contributor | Type |
|---|---|---|
| Data augmentation enhanced multilayer perceptron neural network model for catalytic CO2 methanation
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kittithat Kongtaworn;Panyanat Aonpong;Nutchapon Chotigkrai | บทความ/Article | |
| Automated face selection and censoring on image and video using artificial intelligent
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Ratchai Thipbumrung;Panyanat Aonpong | บทความ/Article |
Nutchapon Chotigkrai
| Title | Contributor | Type |
|---|---|---|
| Solution combustion synthesis of tungsten-promoted alumina for one-pot conversion of sugarcane leaves to furfural
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Navee Ampolsing;Nardrapee Karuna;Nutchapon Chotigkrai | บทความ/Article | |
| Solution combustion synthesis of Niobia-promoted alumina catalysts for direct production of 5-HMF from glucose
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Poramathe Jarunothai;Narit Triamnak;Nardrapee Karuna;Nutchapon Chotigkrai | บทความ/Article | |
| Data augmentation enhanced multilayer perceptron neural network model for catalytic CO2 methanation
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kittithat Kongtaworn;Panyanat Aonpong;Nutchapon Chotigkrai | บทความ/Article | |
| Machine learning-assisted multi-objective optimization of furfural production from lignocellulosic biomass hydrolysate
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Patcharapuek Pattaramanon;Choowong Chaisuk;Nutchapon Chotigkrai | บทความ/Article |