1. Date of download: 6/1/2016 Copyright © ASME. All rights reserved. From: Modeling of Direct Methanol Fuel Cell Using the Artificial Neural Network J. Fuel Cell Sci. Technol. 2013;10(4):041007-041007-9. doi:10.1115/1.4024859 Experimental setup Figure Legend:

2. Date of download: 6/1/2016 Copyright © ASME. All rights reserved. From: Modeling of Direct Methanol Fuel Cell Using the Artificial Neural Network J. Fuel Cell Sci. Technol. 2013;10(4):041007-041007-9. doi:10.1115/1.4024859 BPNN structure for the DMFC Figure Legend:

3. Date of download: 6/1/2016 Copyright © ASME. All rights reserved. From: Modeling of Direct Methanol Fuel Cell Using the Artificial Neural Network J. Fuel Cell Sci. Technol. 2013;10(4):041007-041007-9. doi:10.1115/1.4024859 Flow chart of the best network selection Figure Legend:

4. Date of download: 6/1/2016 Copyright © ASME. All rights reserved. From: Modeling of Direct Methanol Fuel Cell Using the Artificial Neural Network J. Fuel Cell Sci. Technol. 2013;10(4):041007-041007-9. doi:10.1115/1.4024859 RBF-NN structure for the DMFC Figure Legend:

5. Date of download: 6/1/2016 Copyright © ASME. All rights reserved. From: Modeling of Direct Methanol Fuel Cell Using the Artificial Neural Network J. Fuel Cell Sci. Technol. 2013;10(4):041007-041007-9. doi:10.1115/1.4024859 MSE test for different numbers of hidden nodes in the RBF-NN Figure Legend:

6. Date of download: 6/1/2016 Copyright © ASME. All rights reserved. From: Modeling of Direct Methanol Fuel Cell Using the Artificial Neural Network J. Fuel Cell Sci. Technol. 2013;10(4):041007-041007-9. doi:10.1115/1.4024859 Predicted values by the (6-17-15-1) BPNN model with the tansig transfer function versus the measured data of the cell voltage in the (a) training, (b) validation, and (c) testing process Figure Legend:

7. Date of download: 6/1/2016 Copyright © ASME. All rights reserved. From: Modeling of Direct Methanol Fuel Cell Using the Artificial Neural Network J. Fuel Cell Sci. Technol. 2013;10(4):041007-041007-9. doi:10.1115/1.4024859 Comparison of the V–I curves of the fuel cell at different operating temperatures for the conditions of: methanol concentration = 1 M, methanol flow rate = 10 ml min −1, oxygen flow rate = 2 SLPM, cathode back pressure = 0.5 bar for (a) channel depth = 1 mm, (b) channel depth = 1.5 mm, and (c) channel depth = 2 mm Figure Legend:

8. Date of download: 6/1/2016 Copyright © ASME. All rights reserved. From: Modeling of Direct Methanol Fuel Cell Using the Artificial Neural Network J. Fuel Cell Sci. Technol. 2013;10(4):041007-041007-9. doi:10.1115/1.4024859 Comparison of the V–I curves of the fuel cell at different channel depths for the conditions of: methanol concentration = 1 M, methanol flow rate = 10 ml min −1, oxygen flow rate = 2 SLPM, cathode back pressure = 0.5 bar for (a) temperature = 40 °C, and (b) temperature = 65 °C Figure Legend:

9. Date of download: 6/1/2016 Copyright © ASME. All rights reserved. From: Modeling of Direct Methanol Fuel Cell Using the Artificial Neural Network J. Fuel Cell Sci. Technol. 2013;10(4):041007-041007-9. doi:10.1115/1.4024859 Comparison of the V–I curves of the fuel cell at different oxygen flows for the conditions of: cell temperature = 65 °C, methanol concentration = 1 M, methanol flow rate = 10 ml min −1, channel depth = 2 mm, and cathode back pressure = 0.5 bar Figure Legend:

10. Date of download: 6/1/2016 Copyright © ASME. All rights reserved. From: Modeling of Direct Methanol Fuel Cell Using the Artificial Neural Network J. Fuel Cell Sci. Technol. 2013;10(4):041007-041007-9. doi:10.1115/1.4024859 Comparison of the V–I curves of the fuel cell at different methanol concentrations for the conditions of: cell temperature = 65 °C, methanol flow rate = 10 ml min −1, channel depth = 2 mm, cathode back pressure = 0.5 bar, and cathode oxygen flow rate = 2 SLPM Figure Legend:

11. Date of download: 6/1/2016 Copyright © ASME. All rights reserved. From: Modeling of Direct Methanol Fuel Cell Using the Artificial Neural Network J. Fuel Cell Sci. Technol. 2013;10(4):041007-041007-9. doi:10.1115/1.4024859 Comparison of the V–I curves of the fuel cell at different cathode back pressures for the conditions of: cell temperature = 65 °C, methanol concentration = 1 M, methanol flow rate = 10 ml min −1, channel depth = 1.5 mm, and cathode oxygen flow rate = 2 SLPM Figure Legend: