Dissertation > Excellent graduate degree dissertation topics show

Identification of γ Spectrum Fingerprints of Nuclear Materials Based on Neural Network

Author: ChengSong
Tutor: WangChongJie
School: Liaoning Normal University
Course: Particle Physics and Nuclear Physics
Keywords: nuclear material γ-ray γspectrum identification of fingerprint artificial neural network
CLC: TL81
Type: Master's thesis
Year: 2008
Downloads: 86
Quote: 2
Read: Download Dissertation

Abstract


With the development of the application of nuclear energy and nuclear techniques, the probability of nuclear risk is growing. This has been drawn more and more attention in radiation protection research by the public around world. Radiometry technology plays an important role in nuclear safeguard. For instance, in a future nuclear reduction treaty that requires verification of irreversible dismantling of reduced nuclear warheads, radiation fingerprints can be used to label and identify the reduced warheads. Radiation fingerprints can also be used in safety monitoring of nuclear facilities or nuclear materials, and so on. It is important to study the techniques of identifying spectrum fingerprints.Each radioactive isotope has its own uniqueγspectrum whose characteristics vary with the kinds and the compositions of nuclear materials. Therefore we can define theγspectrum as the "fingerprint" of the nuclear material. Theγspectrum fingerprints can be collected by spectroscopy and analyzed by numerical methods. The traditional methods for analyzingγspectra quantitatively and qualitatively are generally based on the positions and the areas of the photoelectric peaks in the spectra.As the development of nuclear technology and its applications, the methods based on Monte Carlo simulation are developed and have been widely used, especially in complex detecting situations. Since the nineties of the twentieth century, with the need for the verification of nuclear weapons in nuclear disarmament, Russia, the United States and other countries research and develop the technology of template measurement, which can distinct the different types of nuclear weapons. From the forming mechanics and the elementary detecting principle ofγspectra, this paper introduced the concept ofγspectrum "fingerprint", and established the RBF (radial basis function) and BP artificial neural network for identifying the types and individuals of nuclear materials based on the thought of pattern recognition, and compared the identifying capabilities of the two neural networks. Meanwhile, the effects of the detection distance and the statistical fluctuation of the system upon the identifying results were discussed. The results show that the BP neural network has the capacity of identifying the types, and the RBF neural network has strong capabilities of identifying the types and the individuals of radiation sources, and has higher identification speed. The methods of identifying nuclear materials based on artificial neural network can be applied to the nuclear safeguard

Related Dissertations

  1. Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
  2. Study on Protective Effects of Apple Polyphenol on Immune System Injury Caused by γ-Ray,S661.1
  3. BP network optimization based on genetic algorithm optimization of the biodiesel process,TE667
  4. Ketones 3D-QSPR study,O641
  5. Research on Pressure Sensed Fingerprint Identification System and Algorithem,TP391.41
  6. The Application of Beijing-1 Image Fusion and Its Information Extraction from Water Body,P
  7. Study on Early Warning and Optimal Regulation of Agricultural Land Rocky Desertification in the Typical Karst Area,X171
  8. Rural financial ecological environment and financial efficiency Correlation,F205;F224
  9. Enterprise Security Benefit Evaluation and Development Strategies,F272;F224.5
  10. Research on the Inteligent System of High Performance Concrete Mix Design in Zhujiang Triangle Area,TU528
  11. Improved PSO-BP Neural Network for Power Transformer Fault Diagnosis,TM407
  12. Research and Application on Prediction Method Based on Gray Theory and Neural Network,F407.61
  13. Comparative Study on Loan Credit Risk Assessment Methods Based on Data Minging,F830.5
  14. Effects of TIG Processing Parameters on Microstructure and Properties of GH99 Superalloy Welded Joint and Simulating,TG407
  15. Research on State Warning and Fault Diagnosis of Mechanical Equipment Based on PNN-model,TH165.3
  16. Research on Slagging Characteristics of Coal-fired Boiler Using Fuzzy Neural Network,TK227.3
  17. Comparison and Study of the Different Prediction Methods about Rainfall in Xining City,P457.6
  18. Voice Changer alto section features research modeling and transformation,TN912.3
  19. Based on artificial neural network model voice conversion algorithm,TN912.34
  20. The Research and Implementation of Peritoneal Dialysis Adequacy Intelligent Evaluation Methods,TP18
  21. The Study on the Cost of the Inpatients of Gynecology Oncology Based on Data Mining Method,R737.3

CLC: > Industrial Technology > Nuclear technology > Particle detection,radiation detection and nuclear instrumentation > Radiation detection technology and instrumentation
© 2012 www.DissertationTopic.Net  Mobile