期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：1
页码：720
DOI：10.15680/IJIRSET.2016.0501124
出版社：S&S Publications
摘要：Modelling and analysing the fuel cell (FC) and optimizing the performance using the machine learningapproach is one of the most advanced methods used in optimizing parameters used in generating power or energy in thefield of fuel cell technology. In this paper, the microbial fuel cell is designed using a traditional approach, to include amathematically modelled and optimized approach as well using the machine learning techniques. The MBFC(Microbial Biological Fuel Cell) system is optimized using an increased surface area the electron sink becomes moreeffective by increasing the surface area for microbial catalytic activity. The results were quite reasonable but in order togenerate an optimized power level we modelled and optimized the designed MBFC system using the recurrent neuralnetwork approach of machine learning.
关键词：Machine Learning; Microbial Fuel Cells; Neural Networks; Optimization; and Modelling
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