[PDF] Top 20 Particle swarm optimization and least squares estimation of NARMAX
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Particle swarm optimization and least squares estimation of NARMAX
... stochastic optimization technique in optimization and its ability to perform in multidimensional data ...parameter estimation NARMAX model process to find the best solution using FRA ... See full document
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Binary Particle Swarm Optimization Structure Selection of Nonlinear Autoregressive Moving Average with Exogenous Inputs (NARMAX) Model of a Flexible Robot Arm
... Binary Particle Swarm Optimization (BPSO) algorithm to perform structure selection for the ...binary optimization problem to minimize an objective ... See full document
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The Performance of Binary Artificial Bee Colony (BABC) in Structure Selection of Polynomial NARX and NARMAX Models
... Abstract— This paper explores the capability of the Binary Artificial Bee Colony (BABC) algorithm for feature selection of Nonlinear Autoregressive Moving Average with Exogenous Inputs (NARMAX) model, and compares ... See full document
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Study on Partial Least-Squares Regression Model of Simulating Freezing Depth Based on Particle Swarm Optimization
... Particle Swarm Optimization (PSO), which is an evolutionary computation technology based on the swarm intelligence, is proposed by Kennedy and Eberhart in 1995 ...a swarm intelligence ... See full document
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Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
... State Estimation (ESE) to identify one of the following four defined evolutionary states, including exploration, exploitation, convergence and jumping out in each generation using some information about population ... See full document
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Performance evaluation for engineering project management of particle swarm optimization based on least squares support vector machines
... of least squares support vector machines (LSSVM), this paper proposes a new classified model which combines adaptive particle swarm optimization (APSO) algorithm with ... See full document
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APPLICATION OF GA, PSO AND PSO-BFGS FOR THE INVERSE ESTIMATION PROBLEM
... the estimation of unknown parameter using evolutionary algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization ...as optimization techniques but also applied for the ... See full document
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Particle swarm optimized partial least square support vector regression model for tax revenue prediction
... the particle swarm these two intelligent optimization ...the particle swarm algorithm to approximate optimization of partial set in least squares support vector ... See full document
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Simultaneous computation of model order and parameter estimation for ARX model based on multi swarm particle swarm optimization
... Parameter Estimation (SMOPE) is a method of utilizing meta-heuristic algorithm to iteratively determine an optimal model order and parameters simultaneously for an unknown ...using Particle Swarm ... See full document
6
Fusion global-local-topology particle swarm optimization for global optimization problems
... fuzzy particle swarm optimization (AFPSO) [19] was proposed to utilize fuzzy inferences for adjusting acceleration ...adaptive particle swarm optimization (APSO) [18] using a ... See full document
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Two-link robot manipulator using fractional order PID controllers optimized by evolutionary algorithms
... numerical optimization, coefficients of the FO controller are optimized using evolutionary algorithms in this ...evolutionary optimization algorithms including particle swarm ... See full document
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Performance Analysis On Channel Estimation Of OFDM Reception In Multipath Fast Fading Channels Using PSO
... channel estimation but these schemes lack in various factors such as improper definition of filter coefficients, complexity and results were not ...Channel estimation i.e. Decision feedback Channel ... See full document
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Classification of Clustered Microcalcifications in Mammograms using Particle Swarm Optimization and Least Squares Support Vector Machine
... An embedded feature selection approach includes feature selection stage as another hyper-parameter to be selected during optimizing the generalization performance of a classifier. Although conventional grid search is ... See full document
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Particle Swarm Optimization and Differentiation Evolution –Based Weighted Least Squares State Estimation
... State estimation is a technique developed to provide an estimate of an unknown system state variable and to quantitatively analyze the estimated state variable before it is used for real time power -now ... See full document
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Least Squares Fitting of Chacón Gielis Curves by the Particle Swarm Method of Optimization
... In case of each model, hundred uniformly distributed random points have been generated with the parameters specified in the relevant (.) γ and (.). f The Repulsive Particle Swarm method of ... See full document
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Optimization of pressure vessel design using pyOpt
... (Sequential least squares programming), COBYLA (Constrained Optimization by Linear Approximation), ALPSO (Augmented Lagrangian Particle Swarm Optimizer), NSGAII (Non Sorting Genetic ... See full document
5
A Novel PSO Algorithm Model Based on Population Migration Strategy and its Application
... Based on in-depth study of PSO algorithm and the principle of population migration, from start to upgrade the computing performance of PSO, a novel PSO algorithm with adaptive space mutation based on population migration ... See full document
8
A Review on Clustering Web data using PSO
... There is a tremendous proliferation in the amount of information available on the largest shared information source, the World Wide Web. Due to its wide distribution, openness and highly dynamic data, the resources on ... See full document
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A. Particle Swarm Optimization
... strategy particle swarm optimization (SPSO) which retains the best combination to increase the quality of the initial particle which is important in PSO for selecting the tag ...the ... See full document
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EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things
... is Particle Swarm Optimiza- tion (PSO) because it is simple to implement and needs relatively less computa- ...Novel Particle Swarm Optimization (NPSO) and Hybrid Particle ... See full document
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