Prediction of concrete elastic modulus using adaptive neuro-fuzzy inference system
CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS, cilt.23, sa.4, ss.295-309, 2006 (SCI-Expanded, Scopus)
- 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.