This paper presents an artificial neural network (ANN) approach of a smart grid integrated
proton exchange membrane (PEM) fuel cell and proposes a neural network model of a 6 kW …

Investigations on using artificial neural networks to predict the performance of single proton
exchange membrane fuel cell has been carried out. Two sets of polarization data obtained …

Abstract Polymer Electrolyte Membrane fuel cell (PEMFC) uses hydrogen as fuel to generate
electricity and by-product water at relatively low operating temperatures, which is …

The paper is focused especially on presenting possibilities of applying artificial neural
networks at creating the optimal model PEM fuel cell. Various ANN approaches have been …

Performance prediction of a commercial proton exchange membrane (PEM) fuel cell system
by using artificial neural networks (ANNs) is investigated. Two artificial neural networks …

This paper proposes a neural network model of a 500-W proton exchange membrane (PEM)
fuel cell. The nonlinear autoregressive moving average model of the PEM fuel cell with …

The inherent properties of artificial neural networks (ANNs) such as low sensitivity to noise
and incomplete information make the ANN a promising candidate to model the fuel cell …

In this paper two artificial intelligence techniques to predict and control behavior of a 25W
fabricated proton exchange membrane (PEM) fuel cell, have been investigated. These …

Artificial Neural Network (ANN) has become a powerful modeling tool for predicting the
performance of complex systems with no well-known variable relationships due to the …

A simple and accurate fuel-cell model is required for fuel-cell-based power-electronic
applications. An artificial neural network (ANN) model is developed in this paper to model …