Macromolecule polymerization reaction product evaluation method based on quantum support vector machine
A technology of polymer polymerization and support vector machine, which is applied in the field of evaluation of polymer polymerization reaction products, can solve problems such as performance evaluation of polymer polymerization reaction products that have not yet appeared, and achieve the requirements of training and testing, accurate evaluation, and effective amplification. Effect
Pending Publication Date: 2022-04-12
郑州信大先进技术研究院
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[0005] Among the machine learning algorithms, property prediction using support vector machines is one of them. Although there are many realistic scenarios, such as the analysis of rice taste quality, water source category judgment, water quality chemical composition or gas concentration analysis, sewage COD value prediction, etc., The use of quantum support vector machines in the performance evaluation of polymer polymerization products has not yet appeared.
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[0045] The technical solutions of the present invention will be described in further detail below through specific implementation methods.
[0046] Such as figure 1 As shown, a method for evaluating polymer polymerization reaction products based on quantum support vector machine includes the following steps:
[0047] Step 1, obtain the original data set related to the polymer polymerization process;
[0048] The original test data collection step is the key focus of the present invention, and the quality of the test data is related to the training and testing of the follow-up model, which is of great significance;
[0049]In this step, according to the polymerization reaction process of polymer materials, different reaction conditions are set, and different reaction products are prepared by polymer polymerization and classified and numbered. After treatment, they are in the form of white powder. Static adsorption test was carried out with salt water as the solvent and quartz...
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The invention provides a high-molecular polymerization reaction product evaluation method based on a quantum support vector machine, which comprises the following steps of: carrying out original data acquisition and data preprocessing on reaction variables such as different reaction monomer dosages, initiator proportions and the like involved in a polymerization reaction process of an adsorption type high-molecular material and absorbance data of a solution after adsorption; carrying out data set amplification by adopting a quantum genetic optimization algorithm; a polymer polymerization reaction product evaluation model is established based on a quantum support vector machine, and the model is trained, tested and evaluated by using an amplified data set, so that the purpose of efficiently and accurately evaluating the adsorption performance of the polymerization reaction product is achieved.
Description
technical field [0001] The invention relates to a method for evaluating a product of a polymer polymerization reaction, in particular to a method for evaluating a product of a polymer polymerization reaction based on a quantum support vector machine. Background technique [0002] The polymer chemical polymerization reaction process is complex, and there are many influencing factors, including the concentration and interaction relationship of different reaction monomers, the ratio of initiator to monomer, reaction temperature, reaction time, stirring speed, drying time and temperature, etc., for adsorption type The particle size value, temperature, solution concentration and the interaction relationship between functional groups and adsorption medium in the post-treatment procedure of the polymer polymerization product have important influence on the adsorption performance of the polymerization product. Traditional research methods are based on comparative observation of a la...
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Login to View More IPC IPC(8): G16C20/30G16C20/10G06K9/62G06N3/12G06N10/60
Inventor 朱伟浩王坤许丹丹成彦波胡春朝伍蕾影
Owner 郑州信大先进技术研究院