Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Enterprise factor group representation method based on human brain neural network model and system thereof

A neural network model and technology for representing systems, applied in the field of enterprise element group representation based on the human brain neural network model and its systems, can solve the problems of lack of comprehensiveness and rigor in evaluation, and achieve high real-time and relevance. Ease of scalability, the effect of reducing data redundancy

Inactive Publication Date: 2018-09-04
前海梧桐(深圳)数据有限公司
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Moreover, there is currently no standard paradigm on the market. It is possible to flexibly evaluate the value of traditional or emerging companies such as team capabilities, resource capabilities, and business capabilities for different types of companies in different market environments. This has led to corporate service agencies or organizations The evaluation of enterprises lacks comprehensiveness and rigor

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Enterprise factor group representation method based on human brain neural network model and system thereof
  • Enterprise factor group representation method based on human brain neural network model and system thereof
  • Enterprise factor group representation method based on human brain neural network model and system thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] In order to fully understand the technical content of the present invention, the technical solutions of the present invention will be further introduced and illustrated below in conjunction with specific examples, but not limited thereto.

[0041] Such as Figure 1-7 In the specific embodiment shown, the enterprise element group representation method based on the human brain neural network model provided by this embodiment can be used in the process of expressing the relationship between enterprise elements to achieve flexible evaluation of traditional or emerging enterprise team capabilities, The value of enterprises such as resource capabilities and business capabilities, so that enterprise service agencies or organizations can evaluate enterprises more comprehensively and rigorously.

[0042] Such as figure 1 As shown, this embodiment provides an enterprise element group representation method based on the human brain neural network model, which includes:

[0043] S...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an enterprise factor group representation method based on a human brain neural network model and a system thereof. The method comprises steps: cerebral cortex partition, connection group and neuron features are built; the cerebral cortex partition, connection group and neuron features are adopted to represent refined factors of an enterprise factor group; the relationshipbetween the connection group and the cerebral cortex partition and the neuron in the enterprise factor group is analyzed; and the refined factors of the enterprise factor group represented by the cerebral cortex partition, connection group and neuron features and the relationship are integrated to form an enterprise factor group expression. With a neuron representing an enterprise decision factor,enterprise data are decomposed in a finest grain mode, the enterprise information data acquisition has atomicity, the data redundancy is reduced, the data have higher real-time performance, relevanceand easy scalability, the team capability, the resource capability and the service capability of traditional or emerging enterprise teams are flexibly evaluated, and the evaluation on the enterpriseby an enterprise service mechanism or organization is more comprehensive and rigorous.

Description

technical field [0001] The present invention relates to a neural network, more specifically, an enterprise element group representation method and system based on a human brain neural network model. Background technique [0002] Enterprise elements are the most basic information unit of an enterprise, and each element of an enterprise has specific content and form, and is given a unique name. The basic elements of an enterprise exist independently. When it is necessary to understand the different contents of an enterprise, only a single analysis can be performed on the corresponding basic elements of the enterprise. Moreover, there is currently no standard paradigm on the market. It is possible to flexibly evaluate the value of traditional or emerging companies such as team capabilities, resource capabilities, and business capabilities for different types of companies in different market environments. This has led to corporate service agencies or organizations The evaluatio...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N3/02
CPCG06N3/02G06Q10/0639G06Q10/067
Inventor 陈晓强
Owner 前海梧桐(深圳)数据有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products