摘要
垃圾渗滤液成分复杂 ,变化范围大 ,对其调试及长期持续良好运行存在较大困难。本文针对武汉市二妃山垃圾渗滤液的调试运行数据 ,利用人工神经网络原理 ,建立 BP人工神经网络垃圾渗滤液生物处理模型来预测处理效果 ,确定最优反应条件。实验结果显示网络具有良好的收敛特性 。
Because of the complex and variable content of landfill leachate, it is difficult to operate and manipulate the leachate treatment plant. By using the artificial neural network, we established a biological treatment model of leachate on the basis of BP neural network. This model gives a solution to the complicated leachate treatment process, and, furthermore, makes it possible to control the plant intelligently and monitor it in realtime. The network converges perfectly and it is fairly valuable for research and practice.
出处
《安全与环境工程》
CAS
2004年第4期46-48,共3页
Safety and Environmental Engineering
基金
国家"十五"科技攻关项目"城镇水环境关键技术"子课题 (2 0 0 2 BA80 6B0 4-0 1B)
关键词
渗滤液
生物处理
BP神经网络
模型
landfill leahcate
neural network
BP neural network
model
