A Quality Prediction Method for Plates Based on Evolutionary Fuzzy Association Rules

Abstract

The present invention provides a method for predicting the quality of medium and heavy plates based on evolutionary fuzzy association rules, which can replace the aftermath of fuzzy association rules with fitting functions, so that the fuzzy association rules can also realize regression prediction on the basis of realizing the classification function Function. The method includes: obtaining fuzzy association rules corresponding to steel rolling data, wherein the steel rolling data is steel rolling data of medium and thick plates; learning the aftermath of the fuzzy association rules, and constructing a fitting on the basis of the aftermath of the fuzzy association rules Function; get the test data, judge whether the test data matches the fuzzy association rules, if they match, use the fitting function generated by the matching rules to make predictions, otherwise, use the weighting of the fitting functions of all fuzzy association rules at the current moment to obtain the prediction results . The invention relates to the technical field of data mining.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a method for predicting the quality of medium and thick plates based on evolutionary fuzzy association rules. Background technique [0002] Steel plates with a thickness of 4.5mm to 25mm are medium and heavy plates, and the quality prediction of medium and heavy plates is of great significance in actual production. However, its performance is affected by many factors such as production material composition and production process, and it is difficult to accurately describe it with mathematical formulas. Although the artificial intelligence method represented by artificial neural network has strong nonlinear approximation ability, the neural network learning algorithm is prone to over-fitting phenomenon in the learning process. [0003] With the development of computer and database technology, a large amount of data in the production process of the steel rolling industry has b...

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a method for predicting the quality of medium and thick plates based on evolutionary fuzzy association rules, so as to solve the problem in the prior art that the fuzzy association rule mining algorithm can only be used for classification and cannot be used for prediction

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