Abstract:
In this paper, Adaptive Neural Fuzzy Inference System (ANFIS) and Multiple Linear Regression (MLR)
models are discussed to determine peak pressure load measurements of the 0, 0.2, 0.4 and 0.6% glass
fibers (by weight) reinforced concrete pipes having 200, 300, 400, 500 and 600 mm diameters. For comparing
the ANFIS, MLR and experimental results, determination coefficient (R2), root mean square error
(RMSE) and standard error of estimates (SEE) statistics were used as evaluation criteria. It is concluded
that ANFIS and MLR are practical methods for predicting the peak pressure load (PPL) values of the concrete
pipes containing glass fibers and PPL values can be predicted using ANFIS and MLR without
attempting any experiments in a quite short period of time with tiny error rates. Furthermore ANFIS
model has the predicting potential better than MLR.
