Prediction of Direct Methanol Fuel Cell Using Artificial Neural Network

被引：0

作者：

Pajaei, Hasan Sharifi ^{[2
]}

Abbasian, Saeid ^{[2
]}

Mendizadeh, Bahman ^{[1
]}

机构：

[1] Islamic Azad Univ, Chalus Branch, Chalus, Iran

[2] Babol Noshirvani Univ Technol, Babol Sar, Iran

来源：

ASIAN JOURNAL OF CHEMISTRY | 2012年 / 24卷 / 11期

关键词：

Direct methanol fuel cell; Artificial neural network; Performance prediction; PERFORMANCE;

D O I：

暂无

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

An artificial neural network has been applied for performance prediction of direct methanol fuel cell. In order to optimization of neuron number in hidden layer, average relative deviation of neural network versus number of neurons has been plotted. Results showed 5-6-2 is the best topology of the neural network. Present study showed the proposed model has an average relative deviation about 2.95 % and 3.4 % respectively for training and testing subset.

引用

收藏

页码：5413 / 5414

页数：2

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