Determination of optimal support vector regression parameters by genetic algorithms and simplex optimization

B. Üstün; W.J. Melssen; M. Oudenhuijzen; L.M.C. Buydens

doi:10.1016/j.aca.2004.12.024

Determination of optimal support vector regression parameters by genetic algorithms and simplex optimization

Analytica Chimica Acta ◽

10.1016/j.aca.2004.12.024 ◽

2005 ◽

Vol 544 (1-2) ◽

pp. 292-305 ◽

Cited By ~ 107

Author(s):

B. Üstün ◽

W.J. Melssen ◽

M. Oudenhuijzen ◽

L.M.C. Buydens

Keyword(s):

Genetic Algorithms ◽

Support Vector Regression ◽

Support Vector ◽

Simplex Optimization ◽

Regression Parameters

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The application of artificial neural networks and support vector regression for simultaneous spectrophotometric determination of commercial eye drop contents

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2017.11.056 ◽

2018 ◽

Vol 193 ◽

pp. 297-304 ◽

Cited By ~ 5

Author(s):

Maryam Valizadeh ◽

Mahmoud Reza Sohrabi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Support Vector Regression ◽

Spectrophotometric Determination ◽

Support Vector ◽

Artificial Neural

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Load prediction based on support vector regression with genetic algorithms

Advances in Energy and Environment Research ◽

10.1201/9781315212876-5 ◽

2017 ◽

pp. 17-22

Author(s):

Min Zou

Keyword(s):

Genetic Algorithms ◽

Support Vector Regression ◽

Support Vector ◽

Load Prediction

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A Recommender for Resource Allocation in Compute Clouds Using Genetic Algorithms and SVR

10.5753/latinoware.2019.10336 ◽

2019 ◽

Author(s):

Thiago Nelson Faria Dos Reis ◽

Mário Antonio Meireles Teixeira ◽

João Dallyson Sousa De Almeida ◽

Anselmo Cardoso De Paiva

Keyword(s):

Resource Allocation ◽

Cloud Computing ◽

Genetic Algorithms ◽

Support Vector Regression ◽

Support Vector

Alocação de recursos em Cloud Computing tem sido feito de forma reativa, dificultando garantias de serviço e gerando carga desnecessária de recursos ociosos. Para mitigar esses problemas, este trabalho propõe e avalia uma abordagem de alocação de recursos preditiva, implementado como um recomendador de configuração, com base em Support Vector Regression (SVR) e Algoritmos Genéticos (AG). Esta combinação é utilizada para estimar tempo de execução do aplicativo e recomenda uma configuração viável e válida de recursos na nuvem, sobre o tempo de execução e custos monetários. Como estudo de caso, as aplicações de aprendizagem de máquina com base na ferramenta Weka são escolhidos. Os resultados mostram que os tempos previstos foram muito perto dos reais, conseguindo uma estimativa eficiente de tempo e custo e sua consequente redução.

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Genetic Algorithms with Improved Simulated Binary Crossover and Support Vector Regression for Grid Resources Prediction

Advances in Neural Networks - ISNN 2010 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13318-3_8 ◽

2010 ◽

pp. 60-67 ◽

Cited By ~ 1

Author(s):

Guosheng Hu ◽

Liang Hu ◽

Qinghai Bai ◽

Guangyu Zhao ◽

Hongwei Li

Keyword(s):

Genetic Algorithms ◽

Support Vector Regression ◽

Support Vector ◽

Grid Resources

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Applying Least Squares Support Vector Regression with Genetic Algorithms for Radio-Wave Path-Loss Prediction in Suburban Environment

Lecture Notes in Electrical Engineering - Advances in Neural Network Research and Applications ◽

10.1007/978-3-642-12990-2_100 ◽

2010 ◽

pp. 861-868 ◽

Cited By ~ 6

Author(s):

Kuo-Ping Lin ◽

Kuo-Chen Hung ◽

Jen-Chang Lin ◽

Chi-Kai Wang ◽

Ping-Feng Pai

Keyword(s):

Genetic Algorithms ◽

Least Squares ◽

Radio Wave ◽

Support Vector Regression ◽

Path Loss ◽

Support Vector ◽

Loss Prediction ◽

Path Loss Prediction ◽

Wave Path ◽

Suburban Environment

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Determination of hemoglobin derivatives in unaltered whole blood samples using Support Vector regression in the spectral range from 450 to 700nm

Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics ◽

10.1117/12.2544806 ◽

2020 ◽

Author(s):

Benjamin Redmer ◽

Philip Schargus ◽

Saidurga Karthikeyan ◽

Bodo Nestler ◽

Stefan Müller

Keyword(s):

Support Vector Regression ◽

Spectral Range ◽

Whole Blood ◽

Support Vector ◽

Blood Samples ◽

Hemoglobin Derivatives ◽

Whole Blood Samples

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Optimisation of Support Vector Regression Parameters

NIR news ◽

10.1255/nirn.898 ◽

2006 ◽

Vol 17 (4) ◽

pp. 12-13

Author(s):

Bülent Üstün ◽

Willem Melssen ◽

Lutgarde Buydens

Keyword(s):

Support Vector Regression ◽

Support Vector ◽

Regression Parameters

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Prediction of asphaltene precipitation using support vector regression tuned with genetic algorithms

Petroleum ◽

10.1016/j.petlm.2016.05.006 ◽

2016 ◽

Vol 2 (3) ◽

pp. 301-306 ◽

Cited By ~ 14

Author(s):

Mohammad Ghorbani ◽

Ghasem Zargar ◽

Hooshang Jazayeri-Rad

Keyword(s):

Genetic Algorithms ◽

Support Vector Regression ◽

Support Vector ◽

Asphaltene Precipitation

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Support vector regression with genetic algorithms for estimating impervious surface and vegetation distributions using ETM+ data

10.1117/12.761250 ◽

2007 ◽

Cited By ~ 4

Author(s):

Liang Chen ◽

Youjing Zhang ◽

Bo Chen

Keyword(s):

Genetic Algorithms ◽

Support Vector Regression ◽

Impervious Surface ◽

Support Vector

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Hybrid genetic algorithms and support vector regression in forecasting atmospheric corrosion of metallic materials

Computational Materials Science ◽

10.1016/j.commatsci.2008.05.010 ◽

2008 ◽

Vol 44 (2) ◽

pp. 647-655 ◽

Cited By ~ 57

Author(s):

S.F. Fang ◽

M.P. Wang ◽

W.H. Qi ◽

F. Zheng

Keyword(s):

Genetic Algorithms ◽

Support Vector Regression ◽

Atmospheric Corrosion ◽

Support Vector ◽

Metallic Materials ◽

Hybrid Genetic Algorithms

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