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Prediction And Early-warning Of Fishery Water Quality Based On Support Vector Machine

Posted on:2019-05-29Degree:MasterType:Thesis
Country:ChinaCandidate:L Z MengFull Text:PDF
GTID:2333330566464250Subject:Engineering
Abstract/Summary:PDF Full Text Request
In this paper,fisheries aquaculture water quality predict early-warning research status at home and abroad.Combining with experimental analysis,introducing the collection of ensemble empirical mode decomposition(EEMD)and support vector machine(SVM)and the grid search method and other related theory and technology,this paper studies the warning of water quality forecast based on support vector machine in view of the fisheries aquaculture water quality data in this paper,specific as follows:(1)To set up a fishery water quality parameters acquisition system and collect water quality data in the fishery pond,as the research object of the forecast and early warning of fishery water quality in this project.(2)In view of the fisheries aquaculture water quality change mechanism,EEMD algorithm is used to preprocess the signal noise reduction of sample water quality in this paper,and eliminate the interference factors in the sample data.(3)This paper uses the support vector regression(SVR)for water quality prediction method,select the radial basis kernel function,and then through the grid search method comprehensive search step by step to reduce the search range to access the best parameters of optimal parameters automatically,this method can improve the learning efficiency of SVR and the analysis accuracy.Key parameters dissolved oxygen and pH of fishery water quality are the predicted objects.Compared with the SVR prediction method without EEMD,the combination prediction method based on EEMD-SVR is more applicable to the prediction of water quality parameters in the fish culture pond.(4)This paper adopts the support vector classify(SVC)as the water quality warning method.First divide fisheries aquaculture water quality alert degree,combine the grid search and SVC to obtain the optimum parameters of the classification,finally got the best SVC water quality warning recognition classifier.The collected water quality data is classified to verify that the method of fishery water quality warning in this paper is reliable and effective.This paper has carried out practical application research on the prediction and early warning of fishery water quality,which has promoted the development of fishery culture and has some theoretical and practical value.
Keywords/Search Tags:Nonlinear prediction and early-warning, Fisheries aquaculture, Support Vector Machine, Ensemble Empirical Mode Decomposition, Grid search
PDF Full Text Request
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