The proton-exchange membrane fuel cell (PEMFC) has the advantage of high energy
conversion efficiency, environmental friendliness, and zero carbon emissions. Therefore, as …

Proton exchange membrane fuel cells (PEMFCs) are an alternative power source for
automobiles that are capable of being cleaner and emission-free. As of yet, long-term …

The performance of high-temperature PEM fuel cell (HT-PEMFC) is substantially influenced
by physical parameters. In this work, the effects of three parameters on the performance of …

In this research, two methods, the multi-layer perceptron (MLP) neural network and the
adaptive neuro-fuzzy inference system (ANFIS), were employed to find the best relationship …

Pt-based materials are commonly employed as catalysts in the electrooxidation of ethanol in
direct ethanol fuel cells (DEFC). However, due to the complex nature of electrooxidation, the …

In this study, an adaptive neuro-fuzzy inference system (ANFIS) is proposed for the
prediction and optimization of condensation heat transfer coefficient and pressure drops …

In this paper, ANFIS (adaptive neuro-fuzzy inference system) as a powerful tool for modeling
complex and nonlinear systems, was used to predict permeate volume of oil/water …

In this paper, Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to model and
predict Grewia Polysaccharide Gum (GPG) extraction yield from Grewia mollis (GM) …

In this paper, an adaptive neuro-fuzzy inference system (ANFIS) with fuzzy C-means
clustering (FCM) structure identification is proposed to model condensation heat transfer …

A three-dimensional, single-phase model of a proton exchange membrane fuel cell with
both the gas distribution flow channels and the membrane–electrode assembly has been …