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Data processing method and device based on multi-task prediction model, equipment and medium

A prediction model and data processing technology, applied in neural learning methods, biological neural network models, character and pattern recognition, etc., can solve the complex environment of the molding system, economic losses, product defects and other problems

Pending Publication Date: 2021-06-18
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to the complexity of the molding system and its sensitivity to the environment, unstable factors in the injection molding process can easily lead to defective products and economic losses

Method used

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  • Data processing method and device based on multi-task prediction model, equipment and medium
  • Data processing method and device based on multi-task prediction model, equipment and medium
  • Data processing method and device based on multi-task prediction model, equipment and medium

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Embodiment Construction

[0031] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0032] During the research and development process, the applicant found that the existing multi-dimensional output problem prediction usually converts the multi-dimensional output problem into multiple one-dimensional output problems. The prediction problem of three one-dimensional dimensions, for example, is transformed into three one-dimensional dimension prediction p...

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Abstract

The invention discloses a data processing method and a device based on a multi-task prediction model, equipment and a medium, and relates to the technical field of computers, in particular to the technical field of machine learning, cloud computing and cloud service. According to the specific implementation scheme, the method comprises the steps that preprocessing operation is executed on original data of at least two dimension dimensions of a product to obtain at least two sets of standard original data; feature extraction is performed on the standard original data to obtain at least two groups of size feature data; splicing is carried out on the at least two groups of size feature data to obtain feature splicing data; feature fusion is carried out on the feature splicing data to obtain at least two groups of feature fusion data; and a prediction result of each size dimension of the product is determined according to the feature fusion data. According to the invention, the accuracy of the prediction result of each dimension dimension of the product is improved.

Description

technical field [0001] The present disclosure relates to the field of computer technology, in particular to the field of machine learning technology, cloud computing and cloud service technology, and in particular to a data processing method, device, device and medium based on a multi-task prediction model. Background technique [0002] Injection molding is a common plastic product processing technology, and the products it processes can be seen everywhere in life, such as electronic products, auto parts and toys. Due to the complexity of the molding system and its sensitivity to the environment, unstable factors in the injection molding process can easily lead to defective products and economic losses. Therefore, it is necessary to predict the product size in the molding process in real time, which helps to reduce or even avoid the occurrence of substandard products, and plays an important role in controlling product quality and reducing production costs. [0003] Existing...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/46G06N3/04G06N3/08
CPCG06N3/08G06V10/422G06N3/045G06F18/253Y02P90/30
Inventor 刘颖徐进解鑫许铭刘建林
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD