Application of multilayer perceptron and radial basis function 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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Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Published: |
2013
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/50910/ http://dx.doi.org/10.1109/ICCSCE.2012.6487219 |
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Institution: | Universiti Teknologi Malaysia |