A Novel Hybrid Particle Swarm Optimization for Feature Selection and Kernel Optimization in Support Vector Regression

2010 International Conference on Computational Intelligence and Security ◽

10.1109/cis.2010.47 ◽

2010 ◽

Author(s):

Jiansheng Wu ◽

Enhong Cheng

Keyword(s):

Feature Selection ◽

Particle Swarm Optimization ◽

Support Vector Regression ◽

Particle Swarm ◽

Support Vector ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization ◽

Kernel Optimization

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Yield prediction of apricot using a hybrid particle swarm optimization-imperialist competitive algorithm- support vector regression (PSO-ICA-SVR) method

Scientia Horticulturae ◽

10.1016/j.scienta.2019.108756 ◽

2019 ◽

Vol 257 ◽

pp. 108756 ◽

Author(s):

I. Esfandiarpour-Boroujeni ◽

E. Karimi ◽

H. Shirani ◽

M. Esmaeilizadeh ◽

Z. Mosleh

Keyword(s):

Particle Swarm Optimization ◽

Support Vector Regression ◽

Particle Swarm ◽

Imperialist Competitive Algorithm ◽

Support Vector ◽

Yield Prediction ◽

Swarm Optimization ◽

Hybrid Particle ◽

Competitive Algorithm ◽

Hybrid Particle Swarm Optimization

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Bandwidth Prediction based on Nu-Support Vector Regression and Parallel Hybrid Particle Swarm Optimization

International Journal of Computational Intelligence Systems ◽

10.1080/18756891.2010.9727678 ◽

2010 ◽

Vol 3 (1) ◽

pp. 70-83 ◽

Author(s):

Liang Hu ◽

Xilong Che ◽

Xiaochun Cheng

Keyword(s):

Particle Swarm Optimization ◽

Support Vector Regression ◽

Particle Swarm ◽

Support Vector ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization ◽

Parallel Hybrid

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Bandwidth Prediction based on Nu-Support Vector Regression and Parallel Hybrid Particle Swarm Optimization

International Journal of Computational Intelligence Systems ◽

10.2991/ijcis.2010.3.1.7 ◽

2010 ◽

Vol 3 (1) ◽

pp. 70 ◽

Author(s):

Liang Hu ◽

Xilong Che ◽

Xiaochun Cheng

Keyword(s):

Particle Swarm Optimization ◽

Support Vector Regression ◽

Particle Swarm ◽

Support Vector ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization ◽

Parallel Hybrid

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Hybrid Particle Swarm Optimization Feature Selection for Crime Classification

New Trends in Intelligent Information and Database Systems - Studies in Computational Intelligence ◽

10.1007/978-3-319-16211-9_11 ◽

2015 ◽

pp. 101-110 ◽

Author(s):

Syahid Anuar ◽

Ali Selamat ◽

Roselina Sallehuddin

Keyword(s):

Feature Selection ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization ◽

Selection For ◽

Crime Classification

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Forecasting FTSE Bursa Malaysia KLCI trend with Hybrid Particle Swarm Optimization and Support Vector Machine technique

2013 World Congress on Nature and Biologically Inspired Computing ◽

10.1109/nabic.2013.6617856 ◽

2013 ◽

Author(s):

Lee Zhong Zhen ◽

Yun-Huoy Choo ◽

Azah Kamilah Muda ◽

Ajith Abraham

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Support Vector ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization

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An Efficient Feature Selection Method Using Hybrid Particle Swarm Optimization with Genetic Algorithm

International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018 - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-03146-6_133 ◽

2018 ◽

pp. 1148-1155

Author(s):

Arya Narayanan ◽

A. N. Praveen

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Feature Selection Method ◽

Selection Method ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization

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Forecasting Short-term Electricity Demand in Residential Sector Based on Support Vector Regression and Fuzzy-rough Feature Selection with Particle Swarm Optimization

Procedia Engineering ◽

10.1016/j.proeng.2015.08.459 ◽

2015 ◽

Vol 118 ◽

pp. 1162-1168 ◽

Author(s):

Hyojoo Son ◽

Changwan Kim

Keyword(s):

Feature Selection ◽

Particle Swarm Optimization ◽

Support Vector Regression ◽

Particle Swarm ◽

Electricity Demand ◽

Support Vector ◽

Swarm Optimization ◽

Residential Sector

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PM2.5 Concentration Prediction Based on Markov Blanke Feature Selection and Hybrid Kernel Support Vector Regression Optimized by Particle Swarm Optimization

Aerosol and Air Quality Research ◽

10.4209/aaqr.200144 ◽

2021 ◽

Vol 21 ◽

Author(s):

Lian-Hua Zhang ◽

Ze-Hong Deng ◽

Wen-Bo Wang

Keyword(s):

Feature Selection ◽

Particle Swarm Optimization ◽

Support Vector Regression ◽

Particle Swarm ◽

Support Vector ◽

Swarm Optimization ◽

Concentration Prediction ◽

Pm2.5 Concentration ◽

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Classification and Prediction of Heart Disease from Diabetes Patients using Hybrid Particle Swarm Optimization and Library Support Vector Machine Algorithm

International Journal of Computing Algorithm ◽

10.20894/ijcoa.101.004.002.001 ◽

2015 ◽

Vol 4 (2) ◽

pp. 54-58

Author(s):

Kalaiselvi C ◽

◽

Nasira G.M ◽

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Heart Disease ◽

Particle Swarm ◽

Support Vector ◽

Support Vector Machine Algorithm ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization ◽

Library Support

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Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection

Expert Systems with Applications ◽

10.1016/j.eswa.2019.03.039 ◽

2019 ◽

Vol 128 ◽

pp. 140-156 ◽

Author(s):

Ke Chen ◽

Feng-Yu Zhou ◽

Xian-Feng Yuan

Keyword(s):

Feature Selection ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization

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