Cover Image

Application of multiplayer perceptron and radial basis funtion neural network IN steady state modeling of automotive air conditioning system

In this paper, steady-state models of an automotive air conditioning (ACC) are identified based on two different artificial neural networks (ANN) architectures: Multilayer Perceptron Neural Networks (MLPNN) and Radial Basis Function Neural Networks (RBFNN). The ANN models are developed with a four-i...

Full description

Saved in:
Bibliographic Details
Main Authors: Boon, Chiang Ng, Mat Darus, Intan Zaurah, Mohamed Kamar, Haslinda, Norazlan, Mohamed
Format: Conference or Workshop Item
Published: 2012
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/34003/
http://ieeexplore.ieee.org/document/6487219/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.34003
record_format eprints
spelling my.utm.340032017-09-28T07:03:14Z http://eprints.utm.my/id/eprint/34003/ Application of multiplayer perceptron and radial basis funtion neural network IN steady state modeling of automotive air conditioning system Boon, Chiang Ng Mat Darus, Intan Zaurah Mohamed Kamar, Haslinda Norazlan, Mohamed TJ Mechanical engineering and machinery In this paper, steady-state models of an automotive air conditioning (ACC) are identified based on two different artificial neural networks (ANN) architectures: Multilayer Perceptron Neural Networks (MLPNN) and Radial Basis Function Neural Networks (RBFNN). The ANN models are developed with a four-in three-out configuration to simulate the outlet evaporating air temperature, cooling capacity, and compressor power under different combination of input compressor speeds, evaporating air speeds, air temperature upstream of the condenser and evaporator. The required data for the system identification are collected from an experimental bench made up of the original components of an AAC system. Investigations signify the advantage of a RBFNN model over MLPNN in modeling the AAC system. 2012 Conference or Workshop Item PeerReviewed Boon, Chiang Ng and Mat Darus, Intan Zaurah and Mohamed Kamar, Haslinda and Norazlan, Mohamed (2012) Application of multiplayer perceptron and radial basis funtion neural network IN steady state modeling of automotive air conditioning system. In: 2012 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2012), 23-25 Nov 2012, Penang, Malaysia. http://ieeexplore.ieee.org/document/6487219/
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Boon, Chiang Ng
Mat Darus, Intan Zaurah
Mohamed Kamar, Haslinda
Norazlan, Mohamed
Application of multiplayer perceptron and radial basis funtion neural network IN steady state modeling of automotive air conditioning system
description In this paper, steady-state models of an automotive air conditioning (ACC) are identified based on two different artificial neural networks (ANN) architectures: Multilayer Perceptron Neural Networks (MLPNN) and Radial Basis Function Neural Networks (RBFNN). The ANN models are developed with a four-in three-out configuration to simulate the outlet evaporating air temperature, cooling capacity, and compressor power under different combination of input compressor speeds, evaporating air speeds, air temperature upstream of the condenser and evaporator. The required data for the system identification are collected from an experimental bench made up of the original components of an AAC system. Investigations signify the advantage of a RBFNN model over MLPNN in modeling the AAC system.
format Conference or Workshop Item
author Boon, Chiang Ng
Mat Darus, Intan Zaurah
Mohamed Kamar, Haslinda
Norazlan, Mohamed
author_facet Boon, Chiang Ng
Mat Darus, Intan Zaurah
Mohamed Kamar, Haslinda
Norazlan, Mohamed
author_sort Boon, Chiang Ng
title Application of multiplayer perceptron and radial basis funtion neural network IN steady state modeling of automotive air conditioning system
title_short Application of multiplayer perceptron and radial basis funtion neural network IN steady state modeling of automotive air conditioning system
title_full Application of multiplayer perceptron and radial basis funtion neural network IN steady state modeling of automotive air conditioning system
title_fullStr Application of multiplayer perceptron and radial basis funtion neural network IN steady state modeling of automotive air conditioning system
title_full_unstemmed Application of multiplayer perceptron and radial basis funtion neural network IN steady state modeling of automotive air conditioning system
title_sort application of multiplayer perceptron and radial basis funtion neural network in steady state modeling of automotive air conditioning system
publishDate 2012
url http://eprints.utm.my/id/eprint/34003/
http://ieeexplore.ieee.org/document/6487219/
_version_ 1643649490423382016
score 13.211869

Similar Items