Dissertation > Excellent graduate degree dissertation topics show

Research and Development of CAD System for Space-grid Structure

Author: HeLiMei
Tutor: LiuFei;YanChunPing
School: Chongqing University
Course: Mechanical and Electronic Engineering
Keywords: Deep Foundation Pit BP neural network MATLAB Selection Decision Model Fuzzy Comprehensive Evaluation
CLC: TP391.72
Type: Master's thesis
Year: 2005
Downloads: 94
Quote: 2
Read: Download Dissertation

Abstract


Deep foundation pit supporting structure design is very important step is to determine the type of supporting structure . Theoretical development and engineering practice to promote the development of deep foundation pit support programs , but the selection method to use more traditional methods of artificial , scientific and high degree of intelligence . Five common deep foundation pit support structure type , the paper focuses on the deep foundation pit supporting structure selection decisions based on BP neural network . Papers as the starting point to the deep foundation pit support engineering theory and a lot of deep foundation pit support engineering examples , the identification of deep foundation pit supporting structure selection decisions affect the formation of deep foundation pit supporting structure selection decision factors index system ; introduces BP neural network theory , the salient features of the deep foundation pit support structure selection involves many fuzzy uncertainties in the MATLAB language environment , the preparation of the decision-making process of selection and build the deep foundation supporting structure selection decision-making model ; formed by a large number of project examples of learning samples Knowledge Base training and commissioning, network selection decision model of deep foundation pit support structure . Finally the selection decision-making model in practical engineering , design , multi-level fuzzy comprehensive evaluation method and project monitoring data point from experts to verify its practicality and effectiveness . The selection decision-making model is convenient to use , more effective solution to the deep foundation pit support structure of the preferred issues .

Related Dissertations

  1. Design of Reciprocatingwire Outfit of Mwedmand Research on It’s Control System,TG484
  2. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  3. Research on Visual Servo System of Mechanical ARM,TP242.6
  4. Application Research of Digital Image Processing on Container Inspection,TP274.4
  5. The Study on Risk Evaluation of BOT Projects in China University,G647
  6. Municipal tourism land use planning environmental impact assessment,X820.3
  7. The Application of Fuzzy Comprehensive Evaluation Based on Genetic Algorithm in Vocational Evaluation of Classroom Teaching,G712
  8. The Research and Application of Software Reliability Test for User Right Management System,TP311.53
  9. Social insurance agencies risk prevention research,F842.6
  10. Mine Risk Information Integration and Intelligent Early Warning,X936
  11. SAR interferometric method for optimal selection,P225.2
  12. Research and Application on Ventilation Disasters’ Early-Warning and Pre-Control Technology in Coal Mine,TD76
  13. Research of Orange Quality Classification Technology Based on Computer Vision,TP391.41
  14. Design and Simulation on MDOF Robotic Prosthesis’s Shoulder,TP242
  15. The Simulation Technology Study of Marine Gas Turbine Based on Modular Modeling,U674.703
  16. Study on Fabric Defect Detection and Sutomati Grad-ing System,TP391.41
  17. The Research of Buildings Damaged Evaluation Model for Surface Movement,TU746.1
  18. The Research of Level Set Methods and Their Applications in Video Vehicle Detection,TP391.41
  19. Design of Positive Draw-back Motion of Wool Spinning Frame and Comparison of Prediction Models of Worsted Yarns Performances,TP183
  20. The Research of Multi-Robot Coordination Control Based on Vision,TP242
  21. Study on Reliability for Machining Center,TG659

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Machine-assisted technology > Machine -aided design (CAD), aided drawing
© 2012 www.DissertationTopic.Net  Mobile