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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Bibliographic Details
Main Authors: Ng, Boon Chiang, Mat Darus, Intan Zaurah, Mohamed Kamar, Haslinda, Norazlan, Mohamed
Format: Conference or Workshop Item
Published: 2017
Subjects:
Online Access:http://eprints.utm.my/id/eprint/97313/
http://dx.doi.org/10.1109/ISIEA.2014.8049869
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