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Scientific research achievement promotion system based on deep learning

A technology of scientific research achievements and deep learning, applied in the field of scientific research achievements promotion system based on deep learning, can solve problems such as few channels to solve technical problems, poor retrieval and analysis ability, backward technology of enterprises, etc., to expand content and service objects, shorten the cycle Effect

Pending Publication Date: 2022-05-13
SHANDONG UNIV +1
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AI Technical Summary

Problems solved by technology

Many scientific and technological achievements formed by research and development are limited by the promotion capabilities of research and development institutions, which prevents these scientific and technological achievements from being transformed into practical applications; at the same time, many enterprises encounter many technical difficulties in production, which are limited by their own poor research and development capabilities and solving technical problems Due to factors such as few channels and poor search and analysis capabilities, it is impossible to seek cooperation to solve the above technical problems, resulting in backward technology and low production efficiency, and unable to produce competitive products.

Method used

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  • Scientific research achievement promotion system based on deep learning

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Embodiment 1

[0096] like figure 1 As shown, this embodiment provides a scientific research achievement promotion system based on deep learning, which is used to present different scientific research achievements such as patents, papers, product prototypes, etc. user.

[0097] The scientific research achievement promotion system based on deep learning in this embodiment is mainly divided into achievement management module, demand management module, expert management module and retrieval module;

[0098] The achievement management module releases the latest achievement information through the scientific research project platform. It is mainly applicable to universities, scientific research institutes, etc., and releases the scientific research achievements of institutions and teams, which helps the achievements to be implemented quickly and shortens the technology conversion cycle.

[0099] The results management module includes a first login unit, a first upload unit, a first review unit, ...

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Abstract

The invention discloses a scientific research achievement promotion system based on deep learning. The system comprises an achievement management module, a demand management module, an expert management module and a retrieval module. The achievement management module is used for uploading and displaying achievement information; the demand management module is used for uploading and displaying knowledge demand information; the expert management module is used for uploading and displaying expert authentication information; and the retrieval module is used for searching the displayed achievement information, the knowledge demand information and the expert authentication information. The scientific research achievement conversion period can be effectively shortened, the content and service objects of a previous scientific research conversion platform are expanded, and the main problems of intelligent recommendation of users, rapid demand solving, school-enterprise information intercommunication and the like are solved.

Description

technical field [0001] The invention belongs to the technical field of intelligent industry-university-research promotion, and in particular relates to a deep learning-based promotion system for scientific research achievements. Background technique [0002] R&D institutions such as universities and scientific research institutes have strong scientific research capabilities, the scale and structure of scientific and technological personnel per unit time are relatively reasonable, the investment in science and technology and the output of achievements are relatively stable, and the research expertise, research fields and directions of scientific research personnel are relatively focused, forming Clustering results with representative or landmark achievements as the main body, and the audience of the results are relatively fixed; although different companies have different development stages and different technological needs, they all show a certain continuity, integrity, and c...

Claims

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Application Information

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IPC IPC(8): G06Q50/18G06F16/9535
CPCG06Q50/184G06F16/9535
Inventor 蔡珣李云飞高艳博李帅朱波张德亮
Owner SHANDONG UNIV
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