Dissertation > Excellent graduate degree dissertation topics show

Research on Defects Recognition of Flatness Shape Based on Genetic Algorithms

Author: WangJing
Tutor: LiXiaoHua
School: Liaoning University of Science and Technology
Course: Control Theory and Control Engineering
Keywords: Flatness pattern recognition genetic algorithm combinational RBF-BP neural network GA-RBF-BP network
CLC: TP18
Type: Master's thesis
Year: 2012
Downloads: 12
Quote: 0
Read: Download Dissertation

Abstract


Steel is the material basis for developing national economy. Being one of the mainsteel products, strip has been widely used in automotive, construction, householdappliances and military industry. Plate shape is one of the quality indexes of steel. Theplates and strips have been applied to various national economy departments widely. Oneof their important quality indicators is the plate shape. Plate shape defect recognition isthe basis and key point of flatness control.By using of the analysis for the cold rolled plate shape defect pattern, a recognitionmethod based on GA and RBF-BP neural network model has been proposed. A flatnessrecognition RBF-BP neural network model with only6-input and3-output has beenestablished based on Legendre orthodoxy polynomial. At the same time, combined withthe characteristics of the genetic algorithm to optimize the weights and threshold of theinput layer and hidden layer and output layer of the RBF-BP model, formed a kind ofmethod with the combination of genetic algorithm and neural network, that is, theGA-RBF-BP model. It can identify the degrees of membership for six kinds of commonbasic pattern of shape defects. Combining BP and RBF neural network’s advantages withgenetic algorithm’s characteristics, the GA-RBF-BP model recognition method has theadvantages of approaching speed and high recognition accuracy. Based on the GA, thenchoose the error function between the actual output and the expected output as the fitnessfunction of the GA, and use the GA to optimize the weights and the threshold, and finallyreturn to the combination of neural network, after many simulation, it make the errorreach the expected value. A simulation study about the model was conducted andcompared with the simulation study of BP and RBF-BP neural network. The results showthat the GA-RBF-BP recognition method has the better effect than using BP neuralnetwork or RBF-BP network in a single way. And it also more suitable for real-timeflatness control. Finally, a set of measured data are simulated, and the simulation resultsdemonstrate the feasibility of the method.

Related Dissertations

  1. Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
  2. The Application of Fuzzy Comprehensive Evaluation Based on Genetic Algorithm in Vocational Evaluation of Classroom Teaching,G712
  3. Study on Taste Characteristic of Taste Peptide Enzymatic Production from Oyster Base on A Neural Network Method,TS254.4
  4. Citrus Image Segmentation Based on Genetic Algorithm,TP391.41
  5. Research of Scheduling Algorithm Based on Hybrid Adaptive Genetic Algorithm in Computing Grid,TP393.09
  6. Public Transport Optimal Dispatching Based on the Genetic-Newton Algorithm,TP18
  7. BP network optimization based on genetic algorithm optimization of the biodiesel process,TE667
  8. The Research on Texture Synthesis Technology from Cloud Theory & Been Evolution Genetic Algorithm,TP391.41
  9. Research on Clustering Algorithm Based on Genetic Algorithm and Rough Set Theory,TP18
  10. Mining resources based on genetic algorithm optimization model of,O224
  11. The Research on Manipulator Trajectory Planning,TP242
  12. Study on Optimization of Urban Traffic Signal Herarchical Control Based on Fuel Cost,U491.51
  13. Optimum Research on Runner System in Bi-color Injection Mold Based on Genetic Algorithm and Moldflow,TQ320.52
  14. Study on Optimization of Energy Structure and Countermeasures of New Energy Development During "The Twelfth Five-Year Plan",F206;F224
  15. The magnetorheological damper mechanical properties and Gun Recoil,TB535.1
  16. Optimization Study on Gating System and Molding Process Parameters of Injection Mold Based on Simulation,TQ320.662
  17. Research on the Milling Performance and Parameters Optimization with Large Parts of Heavy Machine,TG54
  18. Design and Realization of Automatic Course Arrangement System Based on Genetic Algorithm,TP311.52
  19. Researches on Improved Genetic Algorithm Base on Reinforcement Learning,TP18
  20. The Best Planning and the Algorithm Research of the Cargo Dispatch of Physical Distribution Center,TP301.6
  21. Research and Application of Single-Stage Multi-Product Batch Scheduling Based on Quantum Genetic Algorithm,TP18

CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory
© 2012 www.DissertationTopic.Net  Mobile