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Parameter identification of PEMFC based on Convolutional neural network optimized by balanced deer hunting optimization algorithm
This paper proposes a new optimal method for the parameter identification of a proton exchange membrane fuel cell (PEMFC) for increasing the model accuracy. In this research, a new improved version based on deer hunting optimization algorithm (DHOA) is applied to the Convolutional neural network for...
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