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

Trade friction early warning model based on big data classification algorithm

A classification algorithm and early warning model technology, applied in data processing applications, computing, computer parts, etc., can solve the problems of lack of scientific basis, unobjective and new results, and lack of reference to trade friction risk levels.

Inactive Publication Date: 2018-06-01
广东广业开元科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The existing trade friction index considers more policy factors, and the lack of intervention of other factors will lead to a certain deviation in the data results, and the calculated results lack a trade friction risk level range reference
[0006] In the traditional solution, the trade friction index is based on many policy factors, and then manually calculates and evaluates. Therefore, there is a certain degree of subjectivity, experience differences, missed judgments, and misjudgments in the evaluation process. Perfect, the calculated results are not objective and lack scientific basis

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
  • Trade friction early warning model based on big data classification algorithm
  • Trade friction early warning model based on big data classification algorithm
  • Trade friction early warning model based on big data classification algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in many different ways defined and covered by the claims.

[0054] Such as figure 1 As shown, a trade friction early warning model based on big data classification algorithm, the method steps of the model are: Step 1: construct data labeling and trade friction system index grouping; Step 2: construct expert scoring model; Step 3: construct SVM classification Step 4: Train the classification model; Step 5: Trade friction early warning interval; Step 6: Apply the model prediction results and determine the interval.

[0055] Non-dumping factor indicators: mainly include normal competition of domestic and foreign products, changes in national industrial policies (related to subsidies and countervailing), changes in domestic product demand, changes in prices of important raw materials, and responses to technical ...

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 present invention relates to the technical field of economic operation monitoring system, especially to a trade friction early warning model based on a big data classification algorithm. The method of the model comprises the steps of: the step 1: constructing data mark and trade friction system index and trade friction system index groups; the step 2: constructing an expert scoring model; thestep 3: constructing an SVM classifier; the step 4: training a classification model; the step 5: arranging a trade friction early warning interval; and the step 6: determining an application model prediction result and an application model prediction result interval. The method provided by the invention is based on the statistics theory, combines the newest data excavation theory enforcement method, employs the expert scoring assessment model and an analytic hierarchy process and takes historical data as a basis of model construction to achieve rapid, scientific and objective calculation of atrade friction index result; and moreover, an interval classification algorithm is provided by the model to calculate a trade friction risk grade interval to provide a trade friction risk prediction for the calculated trade friction result.

Description

technical field [0001] The invention relates to the technical field of economic operation monitoring systems, in particular to a trade friction early warning model based on a big data classification algorithm. Background technique [0002] Trade friction refers to the process of trade between countries in international trade, resulting in trade balance, generally a country's continuous surplus, another country's deficit, or a country's trade activities Touch or injure the industry of another country. [0003] The current situation of international trade friction presents two new features: (1) it is on the rise; (2) it is becoming more and more intense. Going up a step means going up the third step. The first step is tariff barriers and administrative protection measures. The WTO has resulted in significantly lower tariffs for all members and has worked to remove administrative protection measures. Therefore, this primary form and means of trade friction has been greatly ...

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): G06K9/62G06Q10/06
CPCG06Q10/0635G06F18/2193G06F18/2411
Inventor 王晓佳蔡文鑫
Owner 广东广业开元科技有限公司
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