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Construction method of large-scale hierarchical neural network

A technology of neural network and construction method, applied in the direction of neural learning method, biological neural network model, etc., which can solve the problems of unrecognizable and unclear recognition when scaling

Inactive Publication Date: 2016-02-03
TSINGHUA UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of this, the present invention proposes a method for constructing a large-scale layered neural network, which reproduces the working process of the human brain to a certain extent by constructing a large-scale layered neural network, and can solve the problem of the same object in image recognition. Unrecognizable or unclear problems such as rotation and size scaling

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  • Construction method of large-scale hierarchical neural network
  • Construction method of large-scale hierarchical neural network
  • Construction method of large-scale hierarchical neural network

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Embodiment Construction

[0022] The method for constructing a large-scale layered neural network according to an embodiment of the present invention will be described below with reference to the accompanying drawings, wherein the same or similar symbols throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0023] The embodiment of the present invention proposes a construction method based on a large-scale layered neural network.

[0024] figure 1 It is a flowchart of a method for constructing a large-scale layered neural network according to an embodiment of the present invention.

[0025] like figure 1 As shown, the method for constructing a large-scale layered neural network according to an embodiment of the present invention includes the following steps:

[0026] S101, desig...

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Abstract

The present invention provides a construction method of a large-scale hierarchical neural network. The construction method of the large-scale hierarchical neural network comprises: designing a neural unit; designing a connection among a neuronal population; designing an information transmission mechanism among the neuronal population; and obtaining the large-scale hierarchical neural network according to the connection of the neuronal population and the information transmission mechanism. The construction method of a large-scale hierarchical neural network provided by the embodiment of the invention may perform repetition of human brain working process through the construction of the large-scale hierarchical neural network, therefore the problems that images cannot be identified or cannot be clearly identified because of the rotation and the scaling of objects may be solved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method for constructing a large-scale layered neural network. Background technique [0002] The fundamental reason why computers cannot recognize thousands of objects like the human brain is that there is an essential difference in the working mechanism between the human brain and the computer. [0003] In related technologies, the designed neural network is generally small in scale and is a single-layer neuron group. Although there have been some achievements in the research of small-scale neural networks, the single-layer neuron group algorithm has been able to solve some common image recognition problems, but for some complex images, the objects to be recognized have occlusion, translation, and rotation problems. These small-scale networks will have certain limitations. [0004] In addition, scientific research has shown that the human cerebral cortex inclu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08
Inventor 闫祺陈峰苏鑫
Owner TSINGHUA UNIV
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