Pijush Samui

TL;DR: To investigate the effect of time delays on the accuracy of nonlinear time series models, five input combinations and five non linear models for each of the subscenarios were identified, and the best nonlinear models among the simplest and most applicable models with minimum membership functions and minimum parameter values were selected.

TL;DR: Novel hybrid approach is proposed for predicting of stability of gravity retaining wall on the blend of computational model like adaptive neuro-fuzzy inference system, and meta-heuristic optimization techniques like particle swarm optimization (PSO), Genetic algorithm (GA), Firefly algorithm (FFA), Bio-geography-based optimization (BBO) and Grey wolf optimization (GWO) are used.

TL;DR: In this paper , a universal representative database was collected from multiple literature materials on the effect of different fiber-reinforced polymers on the confined compressive strength of wrapped concrete columns (Fcc), and five AI techniques were applied on the collected database, namely genetic programming (GP), three artificial neural networks (ANN) trained using three different algorithms, back propagation BP, gradually reduced gradient GRG and genetic algorithm GA, and evolutionary polynomial regression (EPR).

TL;DR: This chapter adopts Support Vector Machine (SVM), Least Square Support vector Machine (LSSVM) and Genetic Programming (GP) in order to estimate the rate of medical waste generation.

TL;DR: In this article, the authors examined the capability of multivariate adaptive regression spline (MARS) for prediction of pull out capacity (Q) of small ground anchor, which is a technique to estimate general functions of highdimensional arguments given sparse data.