Prediction of concrete elastic modulus using adaptive neuro-fuzzy inference system

AYDIN A. C., TORTUM A., YAVUZ M.

CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS, cilt.23, sa.4, ss.295-309, 2006 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 23 Sayı: 4
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1080/10286600600772348
  • Dergi Adı: CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.295-309
  • Anahtar Kelimeler: adaptive neuro-fuzzy inference systems, concrete, compressive strength, elastic modulus, STRENGTH, IDENTIFICATION
  • Atatürk Üniversitesi Adresli: Evet

Özet

The prediction of elastic modulus is one of the fundamental facts of structural engineering studies. The performance of adaptive neuro-fuzzy inference system (ANFIS) for predicting the elastic modulus of normal- and high-strength concrete was investigated. Results indicate that the proposed ANFIS modeling approach outperforms the other given models in terms of prediction capability. According to the results, the ANFIS approach is a viable tool for modeling the elastic modulus, as it results in more accurate predictions.