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

Expert system updating method, business processing method and device

An expert system and update method technology, applied in the field of artificial intelligence, can solve the problems of low business processing efficiency and high labor cost, and achieve the effect of improving business processing efficiency, accurate decision-making results, and good decision-making accuracy

Active Publication Date: 2021-10-22
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But this leads to low efficiency of business processing and high labor costs

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
  • Expert system updating method, business processing method and device
  • Expert system updating method, business processing method and device
  • Expert system updating method, business processing method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The specific methods described in the following exemplary embodiments do not represent all solutions consistent with this specification. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present specification as recited in the appended claims.

[0038] The terms used in this specification are for the purpose of describing particular embodiments only, and are not intended to limit the specification. As used in this specification and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the ter...

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

This specification provides an update method of an expert system, a business processing method and a device, wherein the update method of the expert system includes: obtaining a probability graph network corresponding to at least one reference expert system, and the reference expert system and the target expert system are used based on The business feature data of the same target business outputs the business decision results corresponding to the target business; obtains the sample business feature data and optimized target data of the target business; based on the above data, combines the reference expert system and the probability graph network of the target expert system for graph structure learning, Outputs graph structure update information for the target expert system's probabilistic graph network. The embodiment of the present specification enables the expert system to have the ability to learn the graph structure, which is beneficial to more accurate decision-making results of the expert system.

Description

technical field [0001] This specification relates to artificial intelligence technology, in particular to an updating method of an expert system, a business processing method and a device. Background technique [0002] For business scenarios dominated by manual decision-making, it is usually necessary to conduct logical deduction based on the business data in the business scenario and the manual experience of the leader (also called a domain expert), and finally obtain the business decision result in this scenario. Most of these scenarios have the characteristics of small samples and high sample imbalance. For example, in the credit approval field scenario, the credit bad debt rate is low, there are few negative samples, and the number of historical samples in the scenario is also limited. This makes traditional supervised algorithm models difficult to use in this human-decision-dominated business scenario. [0003] Therefore, in related technologies, evaluation and decisio...

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 Patents(China)
IPC IPC(8): G06Q10/10G06N5/00G06N3/08
CPCG06N3/08G06N5/00G06Q10/10
Inventor 许鸣皓綦晓燕秦学文钟娙雩方彦明贾全慧郁露朱茂君孙晓冬姚滨晖余泉
Owner ALIPAY (HANGZHOU) INFORMATION TECH 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