Výsledky vyhledávání - particle swarm optimization support vector regression (PSO-SVR) calibration algorithm

A study on parametric design of ceramic liquor bottles by combining grey relational analysis and particle swarm optimization support vector regression.

Autoři: Guo, Wei Lu, Xing Zhang, Zhenwei

Zdroj: Scientific Reports; 11/7/2025, Vol. 15 Issue 1, p1-17, 17p

Témata: GREY relational analysis, PARTICLE swarm optimization, LIQUOR bottles, ARTISTIC creation, USER-centered system design, PARAMETRIC modeling, MULTIDISCIPLINARY design optimization

Development of particle swarm optimization-support vector regression ( PSO-SVR) coupled with microwave plasma torch-atomic emission spectrometry for quality control of ginsengs.

Autoři: Ying, Yangwei Jin, Wei Yu, Haixiang a další

Zdroj: Journal of Chemometrics. Jan2017, Vol. 31 Issue 1, pn/a-N.PAG. 10p.

Témata: *PARTICLE swarm optimization, *MICROWAVE plasmas, *ATOMIC emission spectroscopy, *PRINCIPAL components analysis, *THERAPEUTIC use of ginseng

Particle Swarm Optimization–Support Vector Regression (PSO-SVR)-Based Rapid Prediction Method for Radiant Heat Transfer for a Spacecraft Vacuum Thermal Test.

Autoři: Su, Xinming Jiang, Hongsen Qin, Taichun a další

Zdroj: Applied Sciences (2076-3417); Oct2024, Vol. 14 Issue 20, p9407, 17p

Témata: MONTE Carlo method, HEAT radiation & absorption, ARC length, PROGNOSTIC models, SPACE vehicles

Rapid Detection of Imidacloprid in Apple Juice by Ultraviolet Spectroscopy Coupled with Support Vector Regression and Variable Selection Methods.

Autoři: Meng, Delong Li, Lin Liu, Zhenlu a další

Zdroj: Journal of Applied Spectroscopy; Nov2024, Vol. 91 Issue 5, p1126-1132, 7p

Témata: PESTICIDE residues in food, APPLE juice, THRESHOLDING algorithms, STANDARD deviations, ULTRAVIOLET spectroscopy, IMIDACLOPRID

Improved CEEMDAN and PSO-SVR Modeling for Near-Infrared Noninvasive Glucose Detection: Improved CEEMDAN and PSO-SVR modeling for near-infrared noninvasive glucose detection

Autoři: Xiaoli Li Chengwei Li

Zdroj: Comput Math Methods Med

Témata: Blood Glucose, Light, Normal Distribution, 02 engineering and technology, Applications of statistics to biology and medical sciences, meta analysis, Imaging, Three-Dimensional, Medical applications (general), Diabetes Mellitus, 0202 electrical engineering, electronic engineering, information engineering, Humans, Scattering, Radiation, support vector regression, Least-Squares Analysis, complete ensemble empirical mode decomposition with adaptive noise, Spectroscopy, Near-Infrared, particle swarm optimization, Blood Glucose Self-Monitoring, Reproducibility of Results, Signal Processing, Computer-Assisted, Models, Theoretical, 3. Good health, Nonlinear Dynamics, Calibration, Algorithms, Diffraction, scattering, Research Article

Popis souboru: application/xml

Přístupová URL adresa: http://downloads.hindawi.com/journals/cmmm/2016/8301962.pdf
https://pubmed.ncbi.nlm.nih.gov/27635151
https://zbmath.org/6702400
https://doi.org/10.1155/2016/8301962
https://downloads.hindawi.com/journals/cmmm/2016/8301962.pdf
https://pubmed.ncbi.nlm.nih.gov/27635151/
https://europepmc.org/article/MED/27635151
https://dblp.uni-trier.de/db/journals/cmmm/cmmm2016.html#LiL16
https://www.ncbi.nlm.nih.gov/pubmed/27635151
https://www.hindawi.com/journals/cmmm/2016/8301962/

A framework for estimating the matric suction in unsaturated soils using multiple artificial intelligence techniques.

Autoři: Wang, Junjie Vanapalli, Sai

Zdroj: International Journal for Numerical & Analytical Methods in Geomechanics; Aug2024, Vol. 48 Issue 11, p2854-2879, 26p

Témata: ARTIFICIAL intelligence, MULTIPLE intelligences, PARTICLE swarm optimization, SOILS, SOIL mechanics

Prediction of Deformation in Expansive Soil Landslides Utilizing AMPSO-SVR.

Autoři: Chen, Zi Huang, Guanwen Zhang, Yongzhi

Zdroj: Remote Sensing; Jul2024, Vol. 16 Issue 13, p2483, 18p

Témata: SWELLING soils, SOIL mechanics, LANDSLIDES, MASS-wasting (Geology), HILBERT-Huang transform, STANDARD deviations

Geografický termín: CHINA

Sea Surface Salinity Inversion Model for Changjiang Estuary and Adjoining Sea Area with SMAP and MODIS Data Based on Machine Learning and Preliminary Application.

Autoři: Zhang, Xiaoyu Wu, Mingfei Han, Wencong a další

Zdroj: Remote Sensing; Nov2022, Vol. 14 Issue 21, p5358, 21p

Témata: MODIS (Spectroradiometer), MACHINE learning, SALINITY, INVERSION (Geophysics), OCEAN currents, PARTICLE swarm optimization, TERRITORIAL waters

Input features and parameters optimization improved the prediction accuracy of support vector regression models based on colorimetric sensor data for detection of aflatoxin B1 in corn.

Autoři: Liu, Tao Jiang, Hui Chen, Quansheng

Zdroj: Microchemical Journal. Jul2022, Vol. 178, pN.PAG-N.PAG. 1p.

Témata: *AFLATOXINS, *REGRESSION analysis, *STANDARD deviations, *PARTICLE swarm optimization, *SUPPORT vector machines, *SENSOR arrays

Modelling of lateral effective stress using the particle swarm optimization with machine learning models.

Autoři: Uncuoğlu, Erdal Latifoğlu, Levent Özer, Abdullah Tolga

Zdroj: Arabian Journal of Geosciences; Nov2021, Vol. 14 Issue 22, p1-18, 18p

Advanced Machine Learning Model for Prediction of Drought Indices using Hybrid SVR-RSM.

Autoři: Piri, Jamshid Abdolahipour, Mohammad Keshtegar, Behrooz

Zdroj: Water Resources Management; Jan2023, Vol. 37 Issue 2, p683-712, 30p

Témata: DROUGHTS, MACHINE learning, PREDICTION models, PARTICLE swarm optimization, AGRICULTURAL water supply, WATER in agriculture

Geografický termín: IRAN, AHVAZ (Iran)

Hyperspectral Detection of Moisture Content in Rice Straw Nutrient Bowl Trays Based on PSO-SVR.

Autoři: Yu, Haiming Hu, Yuhui Qi, Lianxing a další

Zdroj: Sustainability (2071-1050); Jun2023, Vol. 15 Issue 11, p8703, 20p

Support Vector Regression Modelling of an Aerobic Granular Sludge in Sequential Batch Reactor.

Autoři: Ahmad Yasmin, Nur Sakinah Abdul Wahab, Norhaliza Ismail, Fatimah Sham a další

Zdroj: Membranes; Aug2021, Vol. 11 Issue 8, p554, 1p

Témata: GRANULATION, BATCH reactors, PARTICLE swarm optimization, ARTIFICIAL neural networks, RADIAL basis functions, REGRESSION analysis, SLUDGE management, SEQUENCING batch reactor process

Study on drying characteristics and moisture content prediction model of Panax notoginseng taproot by using segmented drying of microwave vacuum combined with hot air.

Autoři: Zhang, Fujie Shi, Lei Xin, Lidong a další

Zdroj: Journal of Food Process Engineering; Dec2022, Vol. 45 Issue 12, p1-10, 10p

Témata: DRYING, MICROWAVE drying, MICROWAVE plasmas, PREDICTION models, PANAX, STANDARD deviations, MOISTURE

Estimating Leaf Nitrogen Content in Wheat Using Multimodal Features Extracted from Canopy Spectra.

Autoři: Gao, Zhiwei Luo, Na Yang, Baohua a další

Zdroj: Agronomy; Aug2022, Vol. 12 Issue 8, pN.PAG-N.PAG, 15p

Témata: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, FEATURE extraction, NITROGEN fertilizers, PLANT nutrition, NITROGEN, PRECISION farming, WHEAT

Optimization-based parameter search of support vector regression for high-temperature compression constitutive modeling of 25CrMo4 steel.

Autoři: Li, Guan Feng Jiang, Yang Fan, Li Feng a další

Zdroj: AIP Advances; Oct2023, Vol. 13 Issue 10, p1-10, 10p

Témata: OPTIMIZATION algorithms, PARTICLE swarm optimization, STEEL, HOT working, GENETIC algorithms

Influenza trend prediction method combining Baidu index and support vector regression based on an improved particle swarm optimization algorithm.

Autoři: Hongxin Xue Lingling Zhang Haijian Liang a další

Zdroj: AIMS Mathematics; 2023, Vol. 8 Issue 11, p25528-25549, 22p

Témata: PARTICLE swarm optimization, INFLUENZA, STANDARD deviations

Geografický termín: CHINA

Extreme learning machine and swarm-based support vector regression methods for predicting crystal lattice parameters of pseudo-cubic/cubic perovskites.

Autoři: Owolabi, Taoreed O.

Zdroj: Journal of Applied Physics; 6/28/2020, Vol. 127 Issue 24, p1-13, 13p

Témata: CRYSTAL lattices, MACHINE learning, SUPPORT vector machines, LATTICE constants, STANDARD deviations, PARTICLE swarm optimization, BUFFER layers

The Power of Machine Learning Methods and PSO in Air Quality Prediction.

Autoři: Cengil, Emine

Zdroj: Applied Sciences (2076-3417); Mar2025, Vol. 15 Issue 5, p2546, 15p

Témata: MACHINE learning, AIR quality monitoring, FEATURE selection, METAHEURISTIC algorithms, PARTICLE swarm optimization

Non-Destructive Detection of Tea Polyphenols in Fu Brick Tea Based on Hyperspectral Imaging and Improved PKO-SVR Method.

Autoři: Gong, Junyao Chen, Gang Deng, Yuezhao a další

Zdroj: Agriculture; Basel; Oct2024, Vol. 14 Issue 10, p1701, 23p

Témata: OPTIMIZATION algorithms, PARTICLE swarm optimization, K-nearest neighbor classification, SPECTRAL imaging, ANALYTICAL chemistry