Performance prediction and analysis of a PEM fuel cell operating on pure oxygen using data-driven models: A comparison of artificial neural network and support vector machine

Title
Performance prediction and analysis of a PEM fuel cell operating on pure oxygen using data-driven models: A comparison of artificial neural network and support vector machine
Authors
Keywords
Polymer electrolyte membrane (PEM) fuel cell, Pure oxygen, Data-driven model, Artificial neural network (ANN), Support vector machine (SVM)
Journal
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume 41, Issue 24, Pages 10202-10211
Publisher
Elsevier BV
Online
2016-05-25
DOI
10.1016/j.ijhydene.2016.04.247

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now