基于 BP 人工神经元网络的臭氧生物活性炭系统建模研究

A STUDY ON MODELLING OF OZONATION AND BIOLOGICAL ACTIVATED CARBON SYSTEM BASED ON BP ARTIFICIAL NEURAL NETWORK

针对臭氧生物活性炭系统的特点和研究中的难点，创新地引入人工神经元网络的理论和思想，提出该过程的人工神经元网络的分析方法。通过建立基于ＢＰ人工神经元网络的臭氧生物活性炭系统模型，考察该网络对水处理系统建模的适应性，探讨了臭氧生物活性炭系统中影响因素之间的关系，为提高臭氧生物活性炭系统的应用水平和实现水处理系统的在线控制提供了一条可行途径。

Dealing with the characteristics of ozonation and biological activated carbon system (Ozonation/BAC system) and some difficulties existed in the research, a concept and theory of artificial neural networks were introduced and an analytic method to this system was put forward. By setting up a model of ozonation/BAC system based on BP artificial neural networks, the adaptability of the model to water treatment system was checked and the internal relation among the factors affecting ozonation/BAC system was studied, thus providing a practical way to upgrade the operation of ozonation/BAC system and realise on line control of water purification system.