Compared with the traditional TWSVM, QPSO-TWSVM can appoint the parameters more accurately and avoid selecting the parameters blindly. Because of the better ...
Abstract—Twin Support Vector Machines (TWSVM) are developed on the basis of Proximal Support Vector. Machines (PSVM) and Proximal Support Vector Machine.
An algorithm that is the Twin Support Vector Machines based on Quantum Particle Swarm Optimization (QPSO-TWSVM) which can appoint the parameters more ...
Twin support vector machines (TWSVM) is similar in spirit to proximal SVM based on generalized eigenvalues (GEPSVM), which constructs two nonparallel planes ...
So in this paper, we propose the twin support vector machines based on particle swarm optimization (PSO-TWSVM). Firstly, using PSO to find the most suitable ...
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Apr 1, 2022 · The experimental results show that the proposed DQPSO algorithm has better optimization performance and faster convergence speed than that of the classical ...
PSO and QPSO are the swarm intelligence optimization al- gorithms with strong robustness and good global searching ability. Compared with the classical TWSVM, ...
The experimental results show that this algorithm is able to find the suitable parameters, and has higher classification accuracy compared with some other ...
Missing: Quantum | Show results with:Quantum
Twin Support Vector Machines Based on Quantum Particle Swarm ...
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Sep 29, 2021 · 发布时间：2021-09-29 点击次数：11 ; 所属单位：计算机科学与技术学院 ; 项目来源：国家自然科学基金项目 ; 第一作者：丁世飞 ; 合写作者：吴福林,黄华娟 ; 论文类型 ...
The experimental results show that the proposed DQPSO algorithm has better optimization performance and faster convergence speed than that of the classical ...