摘要
起爆药废水是一种难降解的废水 ,一般的方法难以使其达标。采用经过改进的 BP神经网络算法 ,建立了起爆药废水催化氧化效果的数学模型 ,用来预测处理效果 ,以指导实际工程设计 ,模型拟合效果较好。
Primary explosive wastewater which was emitted from the plant is difficult to undergo a degradation.Common treatment is not sure to make it to meet the standard enacted by the Environmental Protection Agency. In this paper,a mathematical model between the wastewater and the treatment effect was established based on a promoted BP neural network algorithm.With this model,the treatment effect was predicted and the results showed that this model was effective and it could be used to guide the design of the treatment project. [
出处
《爆破器材》
EI
CAS
北大核心
2000年第5期31-34,共4页
Explosive Materials
关键词
人工神经网络
起爆药
废水处理
催化氧化
artificial neural network,primary explosive,wastewater treatment
