计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2013年
10期
203-205,197
,共4页
多核支持向量机%SILP算法%SimpleMKL算法%小波核函数%氧化沟系统
多覈支持嚮量機%SILP算法%SimpleMKL算法%小波覈函數%氧化溝繫統
다핵지지향량궤%SILP산법%SimpleMKL산법%소파핵함수%양화구계통
multi-kernel svm%SILP algorithm%SimpleMKL algorithm%wavelet kernel%oxidation ditch system
Carrousel氧化沟广泛应用于城市污水处理，但污水处理的效果受到水质和环境因素影响很大，难以建立精确的预测模型。现有的机器学习方法普遍预测效果较差，为了准确预报污水处理的效果，本文采用多核小波支持向量机进行建模，实验表明该方法提高了预报的精确度，适合用于氧化沟系统的实时在线预测。
Carrousel氧化溝廣汎應用于城市汙水處理，但汙水處理的效果受到水質和環境因素影響很大，難以建立精確的預測模型。現有的機器學習方法普遍預測效果較差，為瞭準確預報汙水處理的效果，本文採用多覈小波支持嚮量機進行建模，實驗錶明該方法提高瞭預報的精確度，適閤用于氧化溝繫統的實時在線預測。
Carrousel양화구엄범응용우성시오수처리，단오수처리적효과수도수질화배경인소영향흔대，난이건립정학적예측모형。현유적궤기학습방법보편예측효과교차，위료준학예보오수처리적효과，본문채용다핵소파지지향량궤진행건모，실험표명해방법제고료예보적정학도，괄합용우양화구계통적실시재선예측。
Carrousel oxidation ditch has been widely used in sewage disposal system, however the result of sewage disposal was affected by water quality and environmental factors, so it is difficult to build a precise prediction model. The existing method of machine learning algorithm usually gets a poor result in prediction. In order to precisely predict the result, this essay uses the multi-kernel wavelet support vector machine when build a model. The outcome of this experiment demonstrates that the new method improve the degree of definition in forecasting, and it is suitable for actually online prediction.
