Predictive Model of Parameters Validation for the Vortexanda Technique by using Fuzzy Logic and Neural Network / Norashikin Ahmad Kamal ...[et al.]
This study used fuzzy and neural network models for validating the non-dimensional parameters of experimental findings from development of vortexanda technique in the urban small hydropower system. Fuzzy and neural network was selected due to the significant contribution in verifying or predicting t...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM)
2017
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/39217/1/39217.pdf http://ir.uitm.edu.my/id/eprint/39217/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uitm.ir.39217 |
---|---|
record_format |
eprints |
spelling |
my.uitm.ir.392172020-12-17T04:40:52Z http://ir.uitm.edu.my/id/eprint/39217/ Predictive Model of Parameters Validation for the Vortexanda Technique by using Fuzzy Logic and Neural Network / Norashikin Ahmad Kamal ...[et al.] Ahmad Kamal, Norashikin Sangmin, Shin Heekyung, Park Fuzzy arithmetic Fuzzy logic TJ Mechanical engineering and machinery This study used fuzzy and neural network models for validating the non-dimensional parameters of experimental findings from development of vortexanda technique in the urban small hydropower system. Fuzzy and neural network was selected due to the significant contribution in verifying or predicting the parameters especially for the non-linear process. The aim of this study was to establish a validation model to verify the accuracy of non-dimensional parameters in predicting the removal efficiency of the vortexanda technique. The result show both models of Neural Network and ANFIS may become as the satisfactory tools in validating the 4 non-dimensional parameters for predicting the removal efficiency in vortexanda system by achieving only minimal error in validating process. The predictive model will help the decision maker to design the vortexanda system based on the suitable value of non dimensional parameters and removal efficiency estimation. This model could be an easier and interactive approach for the decision maker compared to the conventional method. Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2017 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/39217/1/39217.pdf Ahmad Kamal, Norashikin and Sangmin, Shin and Heekyung, Park (2017) Predictive Model of Parameters Validation for the Vortexanda Technique by using Fuzzy Logic and Neural Network / Norashikin Ahmad Kamal ...[et al.]. Journal of Mechanical Engineering (JMechE), SI 4 (1). pp. 19-36. ISSN 18235514 |
institution |
Universiti Teknologi Mara |
building |
Tun Abdul Razak Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Mara |
content_source |
UiTM Institutional Repository |
url_provider |
http://ir.uitm.edu.my/ |
language |
English |
topic |
Fuzzy arithmetic Fuzzy logic TJ Mechanical engineering and machinery |
spellingShingle |
Fuzzy arithmetic Fuzzy logic TJ Mechanical engineering and machinery Ahmad Kamal, Norashikin Sangmin, Shin Heekyung, Park Predictive Model of Parameters Validation for the Vortexanda Technique by using Fuzzy Logic and Neural Network / Norashikin Ahmad Kamal ...[et al.] |
description |
This study used fuzzy and neural network models for validating the non-dimensional parameters of experimental findings from development of vortexanda technique in the urban small hydropower system. Fuzzy and neural network was selected due to the significant contribution in verifying or predicting the parameters especially for the non-linear process. The aim of this study was to establish a validation model to verify the accuracy of non-dimensional parameters in predicting the removal efficiency of the vortexanda technique. The result show both models of Neural Network and ANFIS may become as the satisfactory tools in validating the 4 non-dimensional parameters for predicting the removal efficiency in vortexanda system by achieving only minimal error in validating process. The predictive model will help the decision maker to design the vortexanda system based on the suitable value of non dimensional parameters and removal efficiency estimation. This model could be an easier and interactive approach for the decision maker compared to the conventional method. |
format |
Article |
author |
Ahmad Kamal, Norashikin Sangmin, Shin Heekyung, Park |
author_facet |
Ahmad Kamal, Norashikin Sangmin, Shin Heekyung, Park |
author_sort |
Ahmad Kamal, Norashikin |
title |
Predictive Model of Parameters Validation for the Vortexanda Technique by using Fuzzy Logic and Neural Network / Norashikin Ahmad Kamal ...[et al.] |
title_short |
Predictive Model of Parameters Validation for the Vortexanda Technique by using Fuzzy Logic and Neural Network / Norashikin Ahmad Kamal ...[et al.] |
title_full |
Predictive Model of Parameters Validation for the Vortexanda Technique by using Fuzzy Logic and Neural Network / Norashikin Ahmad Kamal ...[et al.] |
title_fullStr |
Predictive Model of Parameters Validation for the Vortexanda Technique by using Fuzzy Logic and Neural Network / Norashikin Ahmad Kamal ...[et al.] |
title_full_unstemmed |
Predictive Model of Parameters Validation for the Vortexanda Technique by using Fuzzy Logic and Neural Network / Norashikin Ahmad Kamal ...[et al.] |
title_sort |
predictive model of parameters validation for the vortexanda technique by using fuzzy logic and neural network / norashikin ahmad kamal ...[et al.] |
publisher |
Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) |
publishDate |
2017 |
url |
http://ir.uitm.edu.my/id/eprint/39217/1/39217.pdf http://ir.uitm.edu.my/id/eprint/39217/ |
_version_ |
1687396756114898944 |
score |
13.18916 |