Multi objective optimization of an evolutionary feedforward neural network for the automotive air conditioning system performance prediction
In this paper, a novel multi-objective evolutionary artificial neural network approach is proposed to predict the performance of an automotive air conditioning (AAC) system. A Feedforward Neural Network (FNN) was used to simulate the cooling capacity and compressor power under different combination...
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Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Published: |
2017
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/97313/ http://dx.doi.org/10.1109/ISIEA.2014.8049869 |
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