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Artificial Intelligence-Assisted Optimization and Multiphase Analysis of Polygon PEM Fuel Cells. (arXiv:2205.06768v1 [cs.NE])
cs.LG updates on arXiv.org arxiv.org
This article presents new PEM fuel cell models with hexagonal and pentagonal
designs. After observing cell performance improvement in these models, we
optimized them. Inlet pressure and temperature were used as input parameters,
and consumption and output power were the target parameters of the
multi-objective optimization algorithm. Then we used artificial intelligence
techniques, including deep neural networks and polynomial regression, to model
the data. Next, we employed the RSM (Response Surface Method) method to derive
the target functions. Furthermore, we …
analysis artificial artificial intelligence arxiv cells intelligence optimization polygon