Dissertation > Excellent graduate degree dissertation topics show

The Design and Implementation of Intelligent Test Paper System

Author: LuQiFang
Tutor: HeLing;WangZhiYong
School: University of Electronic Science and Technology
Course: Software Engineering
Keywords: Intelligent Test Paper Genetic Algorithms Question Bank Piecewise real-coded Genetic Operators
CLC: TP311.52
Type: Master's thesis
Year: 2011
Downloads: 22
Quote: 0
Read: Download Dissertation

Abstract


With the development of computer technology, the computer system has been applied to the education industry up Intelligent Grouping System is an important research direction, depends primarily on the Algorithmic a test paper system efficiency and generating test paper quality. A lot of randomness and uncertainty, traditional Algorithmic Exam changing requirements, and does not have the intelligence, can not capture the overall time complexity. And is often due to the constraints of local does not meet the test paper generation failed. Existing Algorithmic test paper low success rate, time-consuming, resulting papers difficult to meet the demand for the actual exam lack of genetic algorithm in the test paper problem Application. First, the basic theory and principles of Intelligent Test Paper Problem Description summarizes the design constraints in the test paper generation process, given the basic mathematical model of Test Paper Problem. And describes the characteristics of the basic idea of ??genetic algorithms and key issues, as well as the genetic algorithm. Secondly, on the basis of theoretical analysis, the use of the SQL database and C # language, developed in the Visual Studio 2008 environment for Intelligent Test System Based on Genetic Algorithm. System with user management, information management, papers parameter management, as well as Intelligent Test Paper. Design and implementation of the system, in accordance with the theory of software engineering, from the overall design goal of the system functional requirements and non-functional requirements in-depth analysis of the system requirements, system design principles and performance requirements. And the detailed design of the system is given on the basis of the analysis of the system requirements, including system structure, system parameters, database design, and design of genetic operators and Genetic Algorithm algorithm Test Paper code. In the design of the system architecture, the system in accordance with the user's visibility into the user interface layer, functional modules and data layers. In accordance with the three Paradigm requirements on the database design, and gives the ER diagram and table structure. Design genetic operators of the genetic algorithm with the specific circumstances of the Test Paper Problem combining real-coded method segmented to meet the characteristics of the test paper problem, and design the corresponding crossover and mutation operator. System design based on the use of modular programming ideas, systems development and coding system consists of a main form of user login module, the system module, the user management module, and information management module, papers parameter management module and Intelligent Test Paper module six modules. After the test of the system and data experiments show that, based on the genetic algorithm smart fast Algorithmic Test Paper, Test Paper quality is better, the actual test paper generation needs to meet the test paper to solve the problems, and achieved good results, with better practicability.

Related Dissertations

  1. Development of the on-line Training and Examination System of Army,TP311.52
  2. Designs and Applications of Fuzzy Synthetic Evaluation Models Based on Parallel Algorithms,TP18
  3. Based on Genetic Algorithm Pishihang irrigation canal water allocation marshalling model of,S274
  4. Genetic Algorithm in logistics and warehousing Optimization Research,F259.2
  5. Mining resources based on genetic algorithm optimization model of,O224
  6. The Research and Application of Modified Algorithms About Fuzzy Predictive Functional Control,TP273
  7. Optimal Control of Emulsion System in Cold Rolling,TP273
  8. Research on the Marshalling-scheduling Model and Algorithms of Freight Trains Based on Game Theory,O225
  9. Multi-directional Mutation Genetic Algorithm and Research on Neural Network Optimization,TP18
  10. The Application of Using Genetic Algorithms on Universities Course-arranging System,TP18
  11. Research on Mobile Robot Path Planning and Simulation Realization,TP242
  12. Research on Routing Algorithmin Sensor Networks Based on Cluster with Mobile Sink,TP212.9
  13. Research and Implement of the Theme Crawler for Automotive Industry,TP391.3
  14. The Research and Implement on Camera Calibration Technology Based on Trifocal Tensor,TP391.41
  15. Decision Support System of Vehicle Scheduling in Double Level Garage,TP242
  16. The Studies on Some Improvements of the GA and Their Applications in SVM,TP18
  17. A Reduction Method for Artificial Neural Network Inputs Based on An Improved Genetic Algorithm,TP18
  18. Optimal Riser Design of Steel Casting Based on CAE Analysis,TG260
  19. In-furnace Temperature Information Included Combustion Optimization of a Utility Boiler,TK227.1
  20. Design of High-efficiency Thermophotovoltaic System,TM914.4
  21. A Novel Multiport Matching Network Model of an Indoor MIMO System,TN919.3

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Software Engineering > Software Development
© 2012 www.DissertationTopic.Net  Mobile