Javad Zare

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Mohammad Hassan Shojaeefard1
Hassan Mohammadbeigi1
1Mohammad Hassan Shojaeefard
1Hassan Mohammadbeigi
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In the present work, the performance of an air-to-refrigerant laminated type evaporator is predicted using a genetic algorithm (GA)-integrated feed-forward neural network (FFNN) and recurrent neural network (RNN). The obtained results are compared with the results of the FFNN with back-propagation learning algorithm, as the most recommended algorithm in the(More)
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