Comments on 'A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass' by T N Singh, R Kanchan, A K Verma and K Saigal

Tarkan Erdik; Zekai Şen

doi:10.1007/s12040-008-0082-2

Comments on 'A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass' by T N Singh, R Kanchan, A K Verma and K Saigal

Tarkan Erdik^*
, Zekai Şen

^*Bu çalışma için yazışmadan sorumlu yazar

İnşaat Mühendisliği Bölümü

Istanbul Technical University

Araştırma çıktısı: Dergi yayını › Yorum/tartışma

1 Atıf (Scopus)

Özet

Singh et al (2005) examined the potential of the ANN and neuro-fuzzy systems application for the prediction of dynamic constant of rockmass. However, the model proposed by them has some drawbacks according to fuzzy logic principles. This discussion will focus on the main fuzzy logic principles which authors and potential readers should take into consideration.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	973-974
Sayfa sayısı	2
Dergi	Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences
Hacim	117
Basın numarası	6
DOI'lar	https://doi.org/10.1007/s12040-008-0082-2
Yayın durumu	Yayınlandı - 2008

Belgeye Erişim

10.1007/s12040-008-0082-2

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Comments on 'A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass' by T N Singh, R Kanchan, A K Verma and K Saigal",

abstract = "Singh et al (2005) examined the potential of the ANN and neuro-fuzzy systems application for the prediction of dynamic constant of rockmass. However, the model proposed by them has some drawbacks according to fuzzy logic principles. This discussion will focus on the main fuzzy logic principles which authors and potential readers should take into consideration.",

keywords = "Artificial neural network, Compressive strength, Density, Hardness, Neuro-fuzzy, P-wave velocity",

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AU - Erdik, Tarkan

AU - Şen, Zekai

PY - 2008

Y1 - 2008

N2 - Singh et al (2005) examined the potential of the ANN and neuro-fuzzy systems application for the prediction of dynamic constant of rockmass. However, the model proposed by them has some drawbacks according to fuzzy logic principles. This discussion will focus on the main fuzzy logic principles which authors and potential readers should take into consideration.

AB - Singh et al (2005) examined the potential of the ANN and neuro-fuzzy systems application for the prediction of dynamic constant of rockmass. However, the model proposed by them has some drawbacks according to fuzzy logic principles. This discussion will focus on the main fuzzy logic principles which authors and potential readers should take into consideration.

KW - Artificial neural network

KW - Compressive strength

KW - Density

KW - Hardness

KW - Neuro-fuzzy

KW - P-wave velocity

UR - https://www.scopus.com/pages/publications/63249101439

U2 - 10.1007/s12040-008-0082-2

DO - 10.1007/s12040-008-0082-2

M3 - Comment/debate

AN - SCOPUS:63249101439

SN - 0253-4126

VL - 117

SP - 973

EP - 974

JO - Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences

JF - Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences

IS - 6

ER -

Comments on 'A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass' by T N Singh, R Kanchan, A K Verma and K Saigal

Özet

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap