【摘要】 利用BP神经网络对产酸脱硫反应器 (专利设备 ,ZL :982 40 80 1 3)处理高浓度硫酸盐废水时硫酸盐还原菌 (SRB)的限制性生态因子 (COD SO2 -4 比、pH值、ALK、SO2 -4 负荷率 )进行建模与仿真 ,从而实现了多变量函数关系的映射与泛化 ,并从数学生态学角度定量表征了产酸脱硫微生物生态系统中SRB种群的代谢活性与实现生态位更多还原

【Abstract】 This paper put forward a model and simulink of back propagation neural network(BPNN)on the four restrictive ecological factors(COD/SO 2- 4、pH value、ALK、SO 2- 4 loading rate)which affect the abiliy of sulfacte reducing of Sulfate Reducing Bacteria(SRB)in the acidogenic desulfate reactor(patent number:9824080 1 3)for treating high strength sulfate wastewater The model presents the realized niche of SRB population and its activity of mechanism in the eco system of the reactor The experimental results shows that BPNN has the ability of generalization and corresponding of the multi parameters更多还原