|
| 自适应神经模糊推理系统和BP网络对污水溶解氧实时预测的比较研究 |
| Comparative Study of Using Adaptive Neural Network Inference System and BP Network to Dissolved Oxygen in Real Time |
| |
| DOI：10.3969/j.issn.1671-5322.2013.01.010 |
| 中文关键词: ANFIS BP网络 溶解氧 |
| 英文关键词: Adaptive neural network system BP network Dissolved oxygen |
| 基金项目: |
|
| 摘要点击次数: 6236 |
| 全文下载次数: 4025 |
| 中文摘要: |
| 为了对污水处理生物过程中曝气池内溶解氧进行准确的实时预测,分别应用自适应神经网络模糊推理系统(ANFIS)和BP神经网络建立了针对曝气池溶解氧的预测模型,并进行了对比研究.结果表明,用自适应神经模糊推理系对曝气池溶解氧的预测,在模拟误差和收敛性方面,均好于单纯的BP神经网络. |
| 英文摘要: |
| To forecast dissolved oxygen in the biological wastewater treatment process accurately in real-time,this paper applies adaptive neural network system and the BP neural network to establish prediction model of dissolved oxygen,and then carries on the contrast research.The results show that in the field of the simulation error and convergence using adaptive neural network system for prediction of dissolved oxygen is better than pure BP network. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |