| 冯根生，江克宇，李学武，郭兰风.基于模糊神经网络的坦克蓄电池剩余容量预测[J].电气自动化,2014,36(1):27~29,63 |
| 基于模糊神经网络的坦克蓄电池剩余容量预测 |
| Predicting Remaining Capacity of Tank’s Battery Using Fuzzy Neural Network |
| |
| DOI： |
| 中文关键词: 坦克蓄电池 模糊神经网络 剩余容量 MATLAB 仿真 |
| 英文关键词:tank’s battery fuzzy neural network remaining capacity MATLAB simulation |
| 基金项目: |
|
| 摘要点击次数: 2865 |
| 全文下载次数: 0 |
| 中文摘要: |
| 由于坦克蓄电池是一个复杂的非线性系统，要想对其建立一个准确的数学模型是极其困难的。而神经网络具有解决非线性问题，建立模型比较方便的特性。采用模糊神经网络对蓄电池剩余容量进行预测。以实验数据为依据，并通过MATLAB仿真和验证，结果表明：模糊神经网络对蓄电池剩余容量预测准确可行。为坦克蓄电池充电和使用维护提供了依据。 |
| 英文摘要: |
| It is very difficult to set accurate model for remaining capacity of tanks battery, because it is a non linear system. Fuzzy neural network is capable of solving this problem and can set model conveniently. This paper tries to predict remaining capacity of tanks battery by using fuzz neural network. Experimental dates are simulated and checked by MATLAB R2010. The result shows that its accurate and practicable to predict remaining capacity of the tank battery. It can provide some references for the charging and maintenance of tank’s battery. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| 关闭 |
