Tunnel and Underground Space (터널과지하공간)

Korean Society for Rock Mechanics and Rock Engineering (한국암반공학회)
권호 표지

Estimation of Engineering Properties of Rock by Accelerated Neural Network

가속신경망에 의한 암반물성의 추정

  • 김남수 (전남대학교 대학원 자원공학과) ;
  • 양형식 (전남대학교 자원공학과)
  • Published : 1996.12.01
Download PDF
⟨ Previous Next ⟩

Abstract

A new accelerated neural network adopting modified sigmoid function was developed and applied to estimate engineering properties of rock from insufficient geological data. Developed network was tested on the well-known XOR and character recognition problems to verify the validity of the algorithms. Both learning speed and recognition rate were improved. Test learn on the Lee and Sterling's problems showed that learning time was reduced from tens of hours to a few minutes, while the output pattern was almost the same as other studies. Application to the various case studies showed exact coincidence with original data or measured results.

Keywords

References

  1. 터널과지하공간(한국암반공학회지) v.3 불연속암반내 터널굴착의 안정성 평가 및 암반분류를 위한 인공신경회로망 개발 문현구;이철욱
  2. 터널과지하공간(한국암반공학회지) v.5 암석역학 전문가 시스템(ROMES)에 의한 암반분류 연구 양형식;이희근;김호영;김남수
  3. Ph.D. Thesis, University of Illinois Correlation of rock boltshotcrete support and rock quality parameters in Scandinavian tunnels Cecil III, O. S.
  4. Int. J. Rock Mech. Min. Sci. & Geomech. Abstr. v.29 Identifying probable failure modes for underground opening using a neural network Lee C.;Sterling, R.
  5. Parallel Distributed Processing : Explorations in the Microstructure of Cognition v.1 Learning internal representations by error propagation Rummelhart, D. E.;Hinton, G. E.;Williams, R. J.;Rummelhart, D.E.(ed.);McClelland(ed.)
  6. Int. J. Rock Mech. Min. Sci. & Geomech. Abstr. v.28 Application of Neural Network Models to Rock Mechanics and Rock Engineering Zhang, Q.;Song, J.;Nie, X.