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자료유형
학술저널
저자정보
저널정보
한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.5 No.2
발행연도
수록면
114 - 118 (5page)

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초록· 키워드

Recently, in order to guarantee the quality of the final product from the production line, several equipments able to examine the polymer ingredients’ quality are being used. Rheotruder is one of the equipments manufactured to measure the viscosity of the ingredient that is an important factor for the quality of final product. However, Rheotruder has nonlinear characteristics such as time delay which make systematic analysis difficult. In this paper, in order to enhance the performance of Rheotruder, a new scheme is introduced. It incorporates TDNN (Time Delay Neural Network) bank and Elman network to get a right decision on whether the tested ingredient is good or not. Furthermore, the proposed scheme is verified through real test execution
#Elman network #Rheotruder #TDNN bank #time-delay
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목차

  1. Abstract
  2. 1. Introduction
  3. 2. Rheotruder System
  4. 3. Time Delay Neural Network (TDNN)
  5. 4. Elman Network
  6. 5. Enhanced evaluation system for Rheotruder
  7. 6. Application of the proposed scheme to Rheotruder
  8. 7. Conclusion
  9. Reference

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UCI(KEPA) : I410-ECN-0101-2009-028-014877859