The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 23, 2025

Filed:

Jul. 29, 2021
Applicant:

Northeastern University, Shenyang, CN;

Inventors:

Xu Li, Shenyang, CN;

Feng Luan, Shenyang, CN;

Lin Wang, Shenyang, CN;

Yan Wu, Shenyang, CN;

Yuejiao Han, Shenyang, CN;

Dianhua Zhang, Shenyang, CN;

Assignee:

NORTHEASTERN UNIVERSITY, Shenyang, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/044 (2023.01); B21B 37/38 (2006.01); G06F 17/16 (2006.01); G06N 3/063 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06N 3/044 (2023.01); B21B 37/38 (2013.01); G06F 17/16 (2013.01); G06N 3/063 (2013.01); G06N 3/08 (2013.01); B21B 2269/02 (2013.01);
Abstract

Provided is an LSTM-based hot-rolling roll-bending force predicting method including the steps of acquiring final rolling data of a stand of a stainless steel rolling mill when performing a hot rolling process, and dividing the data into a training set traindata and a test set testdata; normalizing the traindata; building a matrix P; using a last row of the matrix P as a label of the training set, namely a true value; calculating and updating an output value and the true value of a network; after network training is completed, taking the last m output data of the LSTM network as an input at a next moment, and then obtaining an output of the network at the next moment, wherein the output is a predicted value of the roll-bending force at the next moment; repeating the steps until a sufficient number of prediction data is obtained; and comparing the processed data with the true value in the testdata to check the validity of the network.


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