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Application Research Of Data Mining Technologies On Membrane Separation Process Of Chinese Medicine Water Extract

Posted on:2013-06-09Degree:MasterType:Thesis
Country:ChinaCandidate:H HongFull Text:PDF
GTID:2234330374451284Subject:Social Medicine and Health Management
Abstract/Summary:PDF Full Text Request
Membrane separation is a new separation method, it have broad prospects in the development of Chinese pharmaceutical industry. But some particles or solute molecules or colloidalion of the filtered liquid, will have physical and chemical reaction with membrane in the aqueous extract of traditional Chinese medicine during the membrane separation process so the membrane pore will be blocked, and it’ll obstruct the further separation process, then understanding the mechanism of membrane fouling in membrane separation process is an urgent problem to be solved, however, there are a large number of non-linear data sets between the complex system of Chinese herb extractions complex, and the data sets are high-noise, multi-factor relations, so establishing the mechanism of membrane fouling model requires the data mining(DM) technology.Data Mining is a subject that revealed the relationship between the data set, and it’s a expansion of statistics. It requires a fast, robust and reiable data mining algorithms in the field of medicine because the dataset is isomerism, subjective and large.Confirm the main model is prediction model after the research on the process and common model in data mining field. Data feature descriptions,deal with missing values, the distance-based outlier analysis,variable transformation and attribute slection are supported job.Although it’s complicated,it’s important.Because it’ll create a clean dataset,so that the predictive model will have a higher accuracy. The forecast model is a frequently used data mining model to the trend of the future or possible outcome through the analysis of historical data to speculate and estimates. The Multiple linear regression model, the Multivariate binomial regression model,the BP Artificial Neural Network model, RBF Artificial Neural Network model and SVM model are involved.And some optimization are introduced in.Compared the effects of different model.Choose Matlab tool for the solution to the problem and design the interface to the system after the basic theory learning.The interface design is professional,friendly and convenient.
Keywords/Search Tags:Membrane separation, Data mining, prediction, interface design, regressionmodel
PDF Full Text Request
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