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Artificial intelligent college entrance examination voluntary reporting system and method

A technology of artificial intelligence and college entrance examination, applied in the direction of instruments, data processing applications, calculations, etc.

Inactive Publication Date: 2016-09-21
程欧亚
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0031] In view of the above problems, the present invention provides a college entrance examination volunteer artificial intelligence filling system and method, which solves the problem of auxiliary decision-making for parents and candidates to fill in college entrance examination volunteers, optimizes the quality and efficiency of college entrance examination volunteer filling, and achieves a scientific basis for candidates and parents. , Reasonable and efficient college entrance examination voluntary filling system and method

Method used

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  • Artificial intelligent college entrance examination voluntary reporting system and method
  • Artificial intelligent college entrance examination voluntary reporting system and method
  • Artificial intelligent college entrance examination voluntary reporting system and method

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Experimental program
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Embodiment

[0062] refer to figure 1 and image 3 , the artificial intelligence filling system for college entrance examination volunteers consists of the following parts:

[0063] 1 Automatic data collector EADH

[0064] (External automation data acquisition hardware)

[0065] 2 College Entrance Examination Big Data Knowledge Base CDKB

[0066] (College entrance examination data knowledge base)

[0067] 3 deep convolutional neural network perception component DCNA (DCNNawarecomponent)

[0068] 4 deep convolutional neural network weight component DCNW (DCNNWeightcomponent)

[0069] 5 deep convolutional neural network analysis component DCNS (DCNN analysis component)

[0070] 6 Fast Monte Carlo Search Tree Optimization MROP (MCTS-RAVEOptimizationcomponent)

[0071] 7 College entrance examination strategy optimization model CSOM

[0072] (College entrance examination strategy Optimization model)

[0073] 8 college entrance examination volunteer form automation generator AFAG

[0...

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Abstract

The invention discloses a college entrance examination voluntary artificial intelligence filling system, which is composed of the following parts: automatic data collector EADH, college entrance examination big data knowledge base CDKB, deep convolutional neural network perception component DCNA, deep convolutional neural network weight component, deep volume Productive neural network analysis component DCNS, fast Monte Carlo search tree optimization MROP, college entrance examination strategy optimization model CSOM, college entrance examination volunteer form automatic generator AFAG, user operation interface, background management module, university and professional information query module, score line and enrollment plan query modules, simulated reporting and accurate reporting modules, user voluntary evaluation modules, college and professional intelligent recommendation modules, occupational employment recommendation voluntary modules, user characteristic evaluation modules, and college entrance examination policy news and enrollment dynamic modules. Intelligent technology is used to assist the decision-making function of college entrance examination volunteers.

Description

technical field [0001] The invention relates to the technical field of voluntary reporting, in particular to a system and method for artificial intelligence filling in college entrance examination volunteers. Background technique [0002] According to the 2016 list of colleges and universities with enrollment qualifications announced by the Ministry of Education, the number of colleges and universities with higher education qualifications is: 844 undergraduate colleges, 1,288 higher vocational (specialist) colleges, 298 independent colleges, and 62 branch campuses School point. Including 507 undergraduate majors and 790 specialist majors. [0003] Since there are many colleges and universities admitted in each province, it is impossible to admit all colleges and universities at the same time. Different types of colleges and universities are admitted in batches and in stages, thus forming batches. There are advance approval, first batch of undergraduates, second batch of un...

Claims

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Application Information

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IPC IPC(8): G06Q50/20
CPCG06Q50/2053
Inventor 程欧亚任松奇
Owner 程欧亚
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