Prediction of lateral and oblique load for batter pile group using GRNN, NN, and ANFIS
This chapter evaluates the potential of three modeling approaches, ie, generalized
regression neural network (GRNN), neural network (NN), and adaptive neuro-fuzzy
inference system (ANFIS) with three membership functions viz. triangular, generalized bell-
shaped, and Gaussian function to model lateral and oblique load resisting capacity of batter
pile groups. A total of 64 and 147 laboratory experiments were used as dataset for modeling
lateral and oblique load tests, respectively. A comparison of results suggests that NN is …
regression neural network (GRNN), neural network (NN), and adaptive neuro-fuzzy
inference system (ANFIS) with three membership functions viz. triangular, generalized bell-
shaped, and Gaussian function to model lateral and oblique load resisting capacity of batter
pile groups. A total of 64 and 147 laboratory experiments were used as dataset for modeling
lateral and oblique load tests, respectively. A comparison of results suggests that NN is …