title: Prediction of ultrasonic pulse velocity for enhanced peat bricks using adaptive neuro-fuzzy methodology.
abstract: Ultrasonic pulse velocity is affected by defects in material structure. This study applied soft computing techniques to predict the ultrasonic pulse velocity for various peats and cement content mixtures for several curing periods. First, this investigation constructed a process to simulate the ultrasonic pulse velocity with adaptive neuro-fuzzy inference system. Then, an ANFIS network with neurons was developed. The input and output layers consisted of four and one neurons, respectively. The four inputs were cement, peat, sand content (%) and curing period (days). The simulation results showed efficient performance of the proposed system. The ANFIS and experimental results were compared through the coefficient of determination and root-mean-square error. In conclusion, use of ANFIS network enhances prediction and generation of strength. The simulation results confirmed the effectiveness of the suggested strategies.
authors.affiliation: Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia; Institute of Ocean and Earth Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia.
authors.forename: Shervin
authors.initials: S
authors.lastname: Motamedi
authors.affiliation: Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.
authors.forename: Chandrabhushan
authors.initials: C
authors.lastname: Roy
authors.affiliation: Department of Computer System and Information Technology, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia. Electronic address: shamshirband@um.edu.my.
authors.forename: Shahaboddin
authors.initials: S
authors.lastname: Shamshirband
authors.affiliation: Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia; Institute of Ocean and Earth Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia. Electronic address: roslan@um.edu.my.
authors.forename: Roslan
authors.initials: R
authors.lastname: Hashim
authors.affiliation: University of Niš, Faculty of Mechanical Engineering, Department for Mechatronics and Control, Aleksandra Medvedeva 14, 18000 Niš, Serbia.
authors.forename: Dalibor
authors.initials: D
authors.lastname: Petković
authors.affiliation: Department of Civil Engineering, Inha University, 100 Inha-ro, Nam-gu, Incheon 402-751, South Korea.
authors.forename: Ki-Il
authors.initials: KI
authors.lastname: Song
keywords: ANFIS; Estimation; Ground improvement; Peat; Ultrasonic pulse velocity