Results 111 to 120 of about 79,920 (249)

A Comparison between Finite Element Model (FEM) Simulation and an Integrated Artificial Neural Network (ANN)-Particle Swarm Optimization (PSO) Approach to Forecast Performances of Micro Electro Discharge Machining (Micro-EDM) Drilling. [PDF]

Micromachines (Basel), 2021
Quarto M, D'Urso G, Giardini C, Maccarini G, Carminati M.   +4 more
europepmc   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source

Convergence analysis of particle swarm optimization algorithms for different constriction factors

Frontiers in Applied Mathematics and Statistics
Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the method is still in research.
Dereje Tarekegn Nigatu, Tekle Gemechu Dinka, Surafel Luleseged Tilahun   +2 more
doaj   +1 more source

Soil Nail Design Optimization Through Adaptive Slope Stability Analysis Using Improved Limit Equilibrium Method

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Design optimization for automatically generating optimal design results is a promising technique for enhancing the efficiency of design processes and outcomes. However, its development for soil nail reinforced slopes is limited since the traditional slope stability analysis using the limit equilibrium method (LEM) becomes relatively time ...
Weihang Ouyang, Kai Liu, Si‐Wei Liu
wiley   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source

Enhancement of quantum particle swarm optimization in elman recurrent network with bounded VMAX function [PDF]

, 2016
There are many drawbacks in BP network, such as trap into local minima and may get stuck at regions of a search space. To solve these problems, Particle Swarm Optimization (PSO) has been executed to improve ANN performance.
Ab. Aziz, Mohamad Firdaus, Shamsuddin, Siti Mariyam   +1 more
core  

Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations

Quality and Reliability Engineering International, EarlyView.
ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim, Huadong Mo, Hemanshu Pota, Daoyi Dong   +3 more
wiley   +1 more source

Global Electricity Consumption Estimation Using Particle Swarm Optimization (Pso)

, 2011
{"references": ["E. Assareh, M.A. Behrang., M.R. Assari., A. Ghanbarzadeh. Application\nof particle swarm optimization (PSO) and genetic algorithm (GA)\ntechniques on demand estimation of oil in Iran. Energy 2010; 35: 5223-\n5229.", "A. Azadeh, S.F. Ghaderi, S. Sohrabkhani.
E.Assareh, M.A. Behrang, R. Assareh, N. Hedayat   +3 more
openaire   +1 more source

A Novel Crawling Robot Based on the Hexagonal Mesh Structure and Enhanced PID Control Strategy

Journal of Field Robotics, EarlyView.
ABSTRACT The locomotion of crawling robots is similar to that of caterpillars, relying on foot adhesion and body contraction to ensure flexible movement without compromising stability. However, most existing pneumatic soft crawling robots are incapable of simultaneously achieving forward, backward, turning, and climbing capabilities.
Meng Hongjun, Ren Yuke, Wei Jingtao, Zhang Shupeng, Zhang Wei   +4 more
wiley   +1 more source

A Comparison of Selected Modifications of the Particle Swarm Optimization Algorithm

Journal of Applied Mathematics, 2014
We compare 27 modifications of the original particle swarm optimization (PSO) algorithm. The analysis evaluated nine basic PSO types, which differ according to the swarm evolution as controlled by various inertia weights and constriction factor.
Michala Jakubcová, Petr Máca, Pavel Pech   +2 more
doaj   +1 more source