Search Results - intelligence valid ((svm algorithm) OR (swarm algorithm))
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Intelligent classification algorithms in enhancing the performance of support vector machine
Published 2019“…This paper presents two intelligent algorithms that hybridized between ant colony optimization (ACO) and SVM for tuning SVM parameters and selecting feature subset without having to discretize the continuous values. …”
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…Swarm intelligence algorithms, are among popular metaheuristic methods, developed and inspired by the collective behaviour of swarms that have attracted significant attention of researchers. …”
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Thesis -
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Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm
Published 2023Subjects:Conference Paper -
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OPTIMIZATION OF PID CONTROLLER PARAMETERS USING ARTIFICIAL FISH SWARM ALGORITHM
Published 2013“…The Literature Review chapter thoroughly describes the Idea of Swarm Intelligence and Swarm Optimization. In methodology, the mathematical model of the algorithm is briefly described. …”
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Final Year Project -
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Intelligent Prediction System for Gas Metering System using Particle Swarm Optimization in Training Neural Network
Published 2017“…Then the project focused on the application of particle swarm optimization (PSO) and Genetic Algorithm (GA) in training neural network prediction model in enhancing the performance of Intelligent Prediction System (IPS). …”
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Prediction of photovoltaic system output using hybrid Cuckoo Search Least Square Support Vector Machine / Muhammad Aidil Adha Aziz
Published 2019“…The performance of CS-LSSVM is compared with those obtained from LS-SVM using cross-validation technique in terms of accuracy. …”
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ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS
Published 2010“…An adaptive neuro-fuzzy inference system (ANFIS) tuned by particle swarm optimization (PSO) algorithm is developed in search for non-parametric model for the TRMS. …”
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Proceeding Paper -
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A case study of microarray breast cancer classification using machine learning algorithms with grid search cross validation
Published 2023“…Grid search cross validation (CV) is applied for hyperparameter tuning of the algorithms. …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…In addition, ISSA was compared with four well-known optimization algorithms such as Genetic Algorithm, Particle Swarm Optimization, Grasshopper Optimization Algorithm, and Ant Lion Optimizer. …”
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Binary whale optimization algorithm with logarithmic decreasing time-varying modified sigmoid transfer function for descriptor selection problem
Published 2023“…The suggested approach is compared to well-known swarm intelligence algorithms, and the results demonstrate its superiority.…”
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Conference or Workshop Item -
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Optimal location and sizing of SVC using Particle Swarm Optimization technique
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Transmission loss minimization using SVC based on particle swarm optimization
Published 2011“…Particle Swarm Optimization (PSO) is one of the artificial intelligent search approaches which has the potential to solve such a problem. …”
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Conference or Workshop Item -
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A Novel Model on Curve Fitting and Particle Swarm Optimization for Vertical Handover in Heterogeneous Wireless Networks
Published 2015“…This study uses two modules that utilize the particle swarm optimization (PSO) algorithm to predict and make an intelligent vertical handover decision. …”
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Dual-tone multifrequency signal detection using support vector machines
Published 2023“…A SVM classifier is trained using the estimated fundamental DTMF carrier frequencies, and is validated using the input samples for classification of low and high DTMF frequency groups. …”
Conference paper -
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Transformer T-joint optimization using particle swarm optimization and hemisphere-shape design of the core
Published 2017“…Moreover, the proposed intelligent algorithm in this work can improve the transformer core design as well as can be applied to various power and distribution transformers.…”
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Multi-Agent Reinforcement Learning For Swarm Robots Formation
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Monograph -
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A comparative analysis of machine learning algorithms for diabetes prediction
Published 2024“…During the DD2019 experiment, the RF and SVM algorithms demonstrated the highest levels of accuracy, achieving 96.65% and 93.93%, respectively. …”
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…The research’s primary objective is to construct a framework for prioritising test cases in regression testing using swarm intelligence that enhances test efficiency and effectiveness. …”
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