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

A method, system, terminal and compute readable storage medium for identifying type of potentially excellent person

A technology of personnel types and identification methods, applied in computer parts, computing, neural learning methods, etc., can solve problems such as low accuracy and lack of identification methods, achieve balanced training samples, high identification accuracy, and improve training effects Effect

Active Publication Date: 2019-01-15
PING AN TECH (SHENZHEN) CO LTD
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing technology, the potential development direction of non-excellent personnel is generally judged and determined subjectively by judges based on the daily performance of non-excellent personnel. The accuracy is not high, and there is a lack of a scientific and effective identification method

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
  • A method, system, terminal and compute readable storage medium for identifying type of potentially excellent person
  • A method, system, terminal and compute readable storage medium for identifying type of potentially excellent person
  • A method, system, terminal and compute readable storage medium for identifying type of potentially excellent person

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] figure 1 It is a flow chart of steps in a preferred embodiment of the method for identifying the type of personnel with excellent potential in the present invention. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.

[0054] refer to figure 1 As shown, the method for identifying the type of potential outstanding personnel specifically includes the following steps.

[0055] Step S11 , acquiring sample data of a plurality of excellent personnel, wherein the plurality of excellent personnel belong to multiple types of excellence, and each of the excellent personnel belongs to one type of excellence.

[0056] In an embodiment, the network may be used to connect to a sample database of excellent personnel, and then to obtain the sample data of excellent personnel stored in the sample database of excellent personnel. The excellent personnel sample database can collect the sample data of multiple exce...

Embodiment 2

[0088] image 3 It is a functional block diagram of a preferred embodiment of the type identification system for potential outstanding personnel of the present invention.

[0089] refer to figure 2 As shown, the type identification system 10 for excellent potential personnel may include an acquisition module 101 , an establishment module 102 , a calculation module 103 , a judgment module 104 , and a selection module 105 .

[0090] The acquiring module 101 is used to acquire sample data of a plurality of excellent personnel, wherein the multiple excellent personnel belong to multiple excellent types, and each of the excellent personnel belongs to one excellent type.

[0091] In an embodiment, the obtaining module 101 may connect to a sample database of excellent personnel through accessing a network, and then acquire the sample data of excellent personnel stored in the sample database of excellent personnel. The excellent personnel sample database can collect the sample data...

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

A method, system, terminal and compute readable storage medium for identifying type of potentially excellent performers are provided. A method for identifying the type of potential excellent performers include obtaining sample data of a plurality of excellent performers; a potential performance excellence identification model is established and trained according to the sample data of a plurality of excellent performers. Inputting sample data of a non-excellent person into the potential excellent person identification model to calculate a probability value for the non-excellent person to grow into each excellent person type; judging whether each of the probability values is greater than a preset probability; and selecting a maximum probability value from a probability value greater than a preset probability value, and taking a performance excellence type corresponding to the maximum probability value as a potential development performance excellence type of the non-performance excellence personnel. The invention establishes and trains a potential performance excellence identification model based on the neural network and the sample data of the performance excellence personnel, and accurately locates the performance excellence type of the growth of the non-performance excellence personnel according to the model, so as to carry out directional cultivation.

Description

technical field [0001] The present invention relates to the field of data processing, and in particular to a method, system, terminal and computer-readable storage medium for identifying the type of potential excellent personnel. Background technique [0002] This section is intended to provide a background or context for implementations of the invention that are set forth in the claims and detailed description. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] Big data is a characteristic of the development of the Internet to the present stage. With the technological innovation represented by cloud computing, data that was difficult to collect and use has become easy to collect and be used. In the existing technology, the potential development direction of non-excellent personnel is generally judged and determined subjectively by judges based on the daily performance of non-excellent personnel. The accuracy is not high, and a s...

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): G06K9/62G06N3/08G06Q10/06
CPCG06N3/08G06Q10/06398G06F18/214
Inventor 邓悦金戈徐亮肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com