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...
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| Format: | Conference or Workshop Item |
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2012
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| _version_ | 1796857299786006528 |
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| 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 |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T18:55:36Z |
| format | Conference or Workshop Item |
| id | utm.eprints-34003 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:55:36Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | utm.eprints-340032017-09-28T07:03:14Z http://eprints.utm.my/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/ |
| 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 |
| title | 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_short | 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 |
| topic | TJ Mechanical engineering and machinery |
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