Model learning method applicable to cross rolling

• Main Authors: FAN CHUILIN, YU SHENGLONG, WANG WEI, BI LIN, FAN YEXIN, ZHENG YINGJIE, JIANG YU, ZHANG FEI, LIU XING
• Format: Patent
• Language: Chinese; English
• Published: 13.04.2016
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVINGMATERIAL; PERFORMING OPERATIONS; PHYSICS; PUNCHING METAL; ROLLING OF METAL; TRANSPORTING

The invention discloses a model learning method applicable to cross rolling, comprising the following steps: defining a fuzzy set theory domain U by a mathematical method, building a subordinate function of a fuzzy subset A, representing the fuzzy set by a ZADEH representation method, wherein the subordinate function in the theory domain U is a real-valued function, U is an element of a set [0, 1], determining the subordinate function by a fuzzy distribution method, carrying out clustering analysis on similarity level of steel types and specifications by an MINKOWSKI distance close degree method; determining cut set level of a satisfied fuzzy similar matrix by the golden mean method, determining a fuzzy rule number corresponding to the cut set level by a maximal tree method, thus building a rolling line forward slip learning fuzzy matrix, wherein with respect to the quantity with matrix value of 1, the learning can be completely inherited, with respect to the quantity with matrix value of 0, the learning is n