神经网络在厌氧消化过程中的模拟应用  

Artificial Neural Network and Its Application in the Anaerobic Digestion Processes

作　　者：曹刚[1] 徐向阳[1] 冯孝善[1] 

机构地区：[1]浙江大学环境工程系,浙江杭州310029

出　　处：《中国沼气》2001年第4期3-6,10,共5页China Biogas

摘　　要：本文对神经网络在厌氧消化过程中的模拟应用作了系统综述。稳定性是厌氧反应器性能的关键指标之一 ,由于反应器不可避免地受到各种负荷的冲击 ,稳定性常常会被破坏。找出一种合适的模型来模拟反应器在冲击负荷下性能变化情况从而更好地控制反应器 ,具有重要的实际意义。神经网络以其非线性、自适应性、并行性以及较强的容错能力等优点 ,日益受到人们的重视 ,神经网络在厌氧消化过程中的模拟应用取得了比较满意的结果。Artificial neural network(ANN) and its application inthe anaerobic digestion process are reviewed. The ananerobic digestion process is subject to widefluctuations,both in flow and organic loading,which often results in a performance drop or even failure,so it is necessary to find a model which can predict thebehavior of the system. to supervise and control the bioprocesses. Artificial neural network claimed to have distinctive advantages on nonlinearity,autoadaption, parallel and fault tolerance, and it is sucessful in the simulating and predicting the anaerobic digestion processes.

关 键 词：厌氧消化 生物反应器 神经网络 负荷冲击 模拟应用 废水处理 

分 类 号：X703[环境科学与工程—环境工程] S216.4[农业科学—农业机械化工程]