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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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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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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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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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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A hybrid particle swarm optimization and support vector regression model for modelling permeability prediction of hydrocarbon reservoir

Journal of Petroleum Science and Engineering ◽

10.1016/j.petrol.2016.11.033 ◽

2017 ◽

Vol 150 ◽

pp. 43-53 ◽

Author(s):

Kabiru. O. Akande ◽

Taoreed. O. Owolabi ◽

Sunday. O. Olatunji ◽

AbdulAzeez AbdulRaheem

Keyword(s):

Particle Swarm Optimization ◽

Regression Model ◽

Support Vector Regression ◽

Support Vector ◽

Support Vector Regression Model ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hydrocarbon Reservoir ◽

Permeability Prediction ◽

Hybrid Particle Swarm Optimization

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Traffic fatalities prediction using support vector machine with hybrid particle swarm optimization

Journal of Algorithms & Computational Technology ◽

10.1177/1748301817729953 ◽

2017 ◽

Vol 12 (1) ◽

pp. 20-29 ◽

Author(s):

Xiaoning Gu ◽

Ting Li ◽

Yonghui Wang ◽

Liu Zhang ◽

Yitian Wang ◽

...

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Support Vector ◽

Traffic Fatalities ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization

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A new sense-through-foliage target recognition method based on hybrid particle swarm optimization-based wavelet twin support vector machine

Measurement ◽

10.1016/j.measurement.2015.11.027 ◽

2016 ◽

Vol 80 ◽

pp. 58-70 ◽

Author(s):

Shijun Zhai ◽

Juan Pan ◽

Hongwei Luo ◽

Shan Fu ◽

Hongji Chen

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Target Recognition ◽

Particle Swarm ◽

Twin Support Vector Machine ◽

Support Vector ◽

Recognition Method ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization

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Parallel Hybrid Particle Swarm Optimization and Applications in Geotechnical Engineering

Advances in Computation and Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04843-2_49 ◽

2009 ◽

pp. 466-475 ◽

Author(s):

Youliang Zhang ◽

Domenico Gallipoli ◽

Charles Augarde

Keyword(s):

Particle Swarm Optimization ◽

Geotechnical Engineering ◽

Particle Swarm ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization ◽

Parallel Hybrid

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Improved Parallel Reactive Hybrid Particle Swarm Optimization using Improved Neighborhood Schedule Generation Method for the Integrated Framework of Optimal Production Scheduling and Operational Planning of an Energy Plant in a Factory

IEEJ Transactions on Industry Applications ◽

10.1541/ieejias.139.1005 ◽

2019 ◽

Vol 139 (12) ◽

pp. 1005-1014

Author(s):

Shuhei Kawaguchi ◽

Yoshikazu Fukuyama

Keyword(s):

Particle Swarm Optimization ◽

Production Scheduling ◽

Particle Swarm ◽

Operational Planning ◽

Swarm Optimization ◽

Optimal Production ◽

Hybrid Particle ◽

Integrated Framework ◽

Hybrid Particle Swarm Optimization ◽

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