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Quantum industry analysis method based on three-dimensional vision field patent map and deep learning

A patent map and deep learning technology, which is applied in the field of analysis and prediction of the quantum industry, can solve the problems of no statistical information utilization, polysemous words cannot be well represented and processed, etc.

Pending Publication Date: 2022-07-05
OCEAN UNIV OF CHINA
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  • Description
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AI Technical Summary

Problems solved by technology

[0005] However, the Doc2Vec algorithm trains each current text feature window separately, and does not utilize the statistical information contained in the global co-occurrence matrix
Polysemous words cannot be well represented and processed because unique word vectors are used

Method used

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  • Quantum industry analysis method based on three-dimensional vision field patent map and deep learning
  • Quantum industry analysis method based on three-dimensional vision field patent map and deep learning
  • Quantum industry analysis method based on three-dimensional vision field patent map and deep learning

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Embodiment Construction

[0047] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0048] like Figure 1~Figure 4 As shown, the quantum industry analysis method based on the 3D field of view patent map and deep learning includes the following steps:

[0049] Step 1. Perform data processing on the data in the dataset;

[0050] Step 2. Visually analyze the processed data and draw a patent map;

[0051] Step 3. Model the processed data based on the deep learning Glove word segmentation algorithm and outlier detection...

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Abstract

The invention provides a quantum industry analysis method based on a three-dimensional vision field patent map and deep learning. The quantum industry analysis method comprises the following steps of 1, performing data processing on data in a data set; 2, performing visual analysis on the processed data, and drawing a patent map; 3, modeling the processed data based on a deep learning Glove word segmentation algorithm and an outlier detection algorithm, and constructing a G-LofNet deep neural network model; 4, the development of the domestic quantum field is analyzed from the three aspects of time, space and mode, and therefore the method has the advantage that the problem that a rack is prone to shaking is solved.

Description

technical field [0001] The invention belongs to the technical field of analysis and prediction of the quantum industry, and particularly relates to a quantum industry analysis method based on a three-dimensional view field patent map and deep learning. Background technique [0002] As an emerging frontier discipline formed by the intersection of quantum physics and information science and other disciplines, quantum information science takes the basic principles of quantum mechanics as its physical basis, and calculates the physical information carried by the "state" of a quantum system. , encoding and information transmission to get rid of the limitations of traditional information technology, so as to break through the limits of classical physics in terms of computing speed, information security, channel capacity, and detection accuracy. The three major directions of quantum information science: "quantum communication", "quantum computing" and "quantum precision measurement...

Claims

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Application Information

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IPC IPC(8): G06F16/904G06F16/903G06F16/906G06N3/04G06N3/08G06N10/00
CPCG06F16/904G06F16/90335G06F16/906G06N10/00G06N3/08G06N3/045
Inventor 范宣周瀚阁赵凤娇田响涛洪龙伟吴建新
Owner OCEAN UNIV OF CHINA
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