CAJ | 학술논문

在BP网络模型基础上构建了隶属度BP网络模型,针对模型特点,建立了水质评价标准指标矩阵,并采用扩展方法构建了网络训练样本,将所建立的模型应用于佛山某污水处理厂的出水口水质评价,应用模糊隶属度方法实现水质级别评价,可以简明地表示水质接近于某类标准水质的程度。研究表明,本算法使评价的结果更具体准确、更符合评价水体水质情况,能为污水处理厂出水口水质的有效监督提供科学依据。
재BP망락모형기출상구건료대속도BP망락모형,침대모형특점,건립료수질평개표준지표구진,병채용확전방법구건료망락훈련양본,장소건립적모형응용우불산모오수처리엄적출수구수질평개,응용모호대속도방법실현수질급별평개,가이간명지표시수질접근우모류표준수질적정도。연구표명,본산법사평개적결과경구체준학、경부합평개수체수질정황,능위오수처리엄출수구수질적유효감독제공과학의거。
In this paper,based on the BP Neural network the degree of membership BP Neural network model was constructed.Aiming at the model characteristics,the criteria matrix of water quality evaluation is established,and the network training samples are built by using extending method.The water quality of the outlet of a sewage water treatment plant in Foshan is evaluated.The Fuzzy Membership degree method is used in the water quality evaluation,which can concisely express the water quality are close to the certain level of water quality standards.The studies show that the algorithm makes the evaluation results more specific and accurate,It provides the scientific basis for effective monitoring the outlet of sewage water treatment plant.