Method for predicting membrane pollution tendency in membrane distilled water processing system on the basis of GA-LSSVM (Genetic Algorithm- Least Squares Support Vector Machine) model

Method for predicting membrane pollution tendency in membrane distilled water processing system on the basis of GA-LSSVM (Genetic Algorithm- Least Squares Support Vector Machine) model

  • CN 104,933,310 A
  • Filed: 06/19/2015
  • Published: 09/23/2015
  • Est. Priority Date: 06/19/2015
  • Status: Active Application
First Claim
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1. , based on the method for fouling membrane trend in GA-LSSVM model prediction membrane distillation water disposal system, it is characterized in that, comprise the following steps:

  • (1) LSSVM algorithm is utilized to set up the forecast model of Membrane Materials sewage disposal process;

    (2) respectively under plan steady state (SS) and unsteady state, the parameter of the forecast model utilizing GA algorithm optimization step (1) to set up;

    (3) respectively under plan steady state (SS) and unsteady state, the variation tendency of forecast model to membrane flux and membrane pollution resistance utilizing step (2) to optimize is predicted, and the basic operation parameter of analyzing film distillation is on the impact of membrane flux and membrane pollution resistance;

    (4) sensitivity analysis calculating is carried out to predicting the outcome of obtaining of step (3), determine the leading factor affecting membrane flux and membrane pollution resistance.

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