In this paper, PSO is used in an attempt to obtain accurate settlement prediction. The predicted settlements obtained by PSO are compared with those predicted ...
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Jan 1, 2023 · The frameworks proposed as SVR-HGSO and SVR-. PSO attempt to simulate the pile settlement rates by the dataset. Generally, developing boosted ...
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Nazir et al. [168] used a hybrid approach based on the ANN and PSO to predict the settlement of a shallow foundation on cohesionless soil. The decision ...
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Jun 17, 2023 · It was found that the use of particle swarm optimization was more effective and the PSO-ANFIS model was used to predict the ground settlement ...
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Oct 16, 2020 · Based on the traditional BP neural network, this paper improves the particle swarm optimization algorithm in the intelligent optimization ...
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This article discusses the use of PSO algorithm to optimize the selection of three parameters of SVM, namely, insensitive loss coefficient, penalty coefficient, ...
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This study proposes a novel reinforcement learning (RL) based optimizer with the integration of deep-Q network (DQN) and particle swarm optimization (PSO). Such ...
This study briefly reviews the application of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in geotechnical engineering since GA and PSO are ...
In this paper, an empirical model for predicting load - settlement relationship of a single pile under axial load has been developed using a hybrid PSO/higher- ...
The particle swarm optimization (PSO) algorithm is a population-based search al- gorithm based on the simulation of the social behavior of birds within a ...
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