Výsledky vyhledávání - last square support vector regression algorithm

Machine Learning Techniques For Stock Price Prediction - A Comparative Analysis Of Linear Regression, Random Forest, And Support Vector Regression.

Autoři: Pashankar, Shital Sameer Shendage, Jyoti Dashrath Pawar, Janardan

Zdroj: Journal of Advanced Zoology. 2024 Supplement, Vol. 45, p118-127. 10p.

Comparison of Bayesian Regularized Neural Network, Random Forest Regression, Support Vector Regression and Multivariate Adaptive Regression Splines Algorithms to Predict Body Weight from Biometrical Measurements in Thalli Sheep.

Alternate Title: Thalli Koyunlarında Biyometrik Ölçümlerden Vücut Ağırlığı Tahmini İçin Bayesian Regularized Neural Network, Random Forest Regresyon, Support Vector Regresyon ve Çok Değişkenli Regresyon Uzanımları Algoritmalarının Karşılaştırılması

Autoři: TIRINK, Cem¹ cem.tirink@gmail.com

Zdroj: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. May/Jun2022, Vol. 28 Issue 3, p411-419. 9p.

Témata: Random forest algorithms, Body weight, Splines, Sheep breeds, Sheep, Ear, Artificial neural networks

A grey seasonal least square support vector regression model for time series forecasting.

Autoři: Zhou, Weijie Cheng, Yuke Ding, Song a další

Zdroj: ISA Transactions. Aug2021, Vol. 114, p82-98. 17p.

Témata: Time series analysis, Least squares, Regression analysis, Dummy variables, Forecasting, Vector error-correction models

Geografický termín: China

An adaptive fuzzy predictive control of nonlinear processes based on Multi-Kernel least squares support vector regression.

Autoři: Boulkaibet, I. Belarbi, K. Bououden, S. a další

Zdroj: Applied Soft Computing. Dec2018, Vol. 73, p572-590. 19p.

Témata: Adaptive fuzzy control, Adaptive control systems, Least squares, Support vector machines, Back propagation

The Support Vector Regression Method Performance Analysis in Predicting National Staple Commodity Prices

Autoři: Huzain Azis Purnawansyah Purnawansyah Nirwana Nirwana a další

Zdroj: Ilkom Jurnal Ilmiah, Vol 15, Iss 2, Pp 390-397 (2023)

Témata: food prices, machine learning, predictions, support vector regression., Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/1686; https://doaj.org/toc/2087-1716; https://doaj.org/toc/2548-7779

Přístupová URL adresa: https://doaj.org/article/1e71a2d154b64c93aae5b1c79a82bab0

Revealing accuracy in climate dynamics: enhancing evapotranspiration estimation using advanced quantile regression and machine learning models.

Autoři: Sharafi, Saeed Mohammadi Ghaleni, Mehdi

Zdroj: Applied Water Science; Jul2024, Vol. 14 Issue 7, p1-22, 22p

Témata: MACHINE learning, QUANTILE regression, EVAPOTRANSPIRATION, LEAST squares, RANDOM forest algorithms

Geografický termín: IRAN

Development and comparison of regression models for determination of starch in chickpea using NIR spectroscopy

Autoři: Priyadarshi, Madhu Bala Sharma, Anu Chaturvedi, K.K. a další

Zdroj: 15(3):683-691

New model for prediction binary mixture of antihistamine decongestant using artificial neural networks and least squares support vector machine by spectrophotometry method.

Autoři: Mofavvaz, Shirin Sohrabi, Mahmoud Reza Nezamzadeh-Ejhieh, Alireza

Zdroj: Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy. Jul2017, Vol. 182, p105-115. 11p.

Témata: *BRADFORD protein assay, *LEAST squares, *REGRESSION analysis, *STANDARD deviations, *ARITHMETIC mean

Impact of multi‐output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms.

Autoři: Mora, Mónica González, Pablo Quevedo, José Ramón a další

Zdroj: Journal of Animal Breeding & Genetics. Nov2023, Vol. 140 Issue 6, p638-652. 15p.

Témata: Machine learning, Swine breeding, Independent variables, Genotypes, Livestock breeding, Feature selection

An improved least square support vector regression algorithm for traffic flow forecasting.

Autoři: Wanqiu Lou Yingjie Zhou Peng Sheng a další

Zdroj: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC); 2014, p2379-2384, 6p

Improved Logistic Regression Algorithm Based on Kernel Density Estimation for Multi-Classification with Non-Equilibrium Samples.

Autoři: Yang Yu Zeyu Xiong Yueshan Xiong a další

Zdroj: Computers, Materials & Continua; 2019, Vol. 61 Issue 1, p103-117, 15p

Témata: LOGISTIC regression analysis, PROBABILITY theory, SUPPORT vector machines, SPEECH perception, LEAST squares, HANDWRITING recognition (Computer science), KERNEL functions, ALGORITHMS

Research on the Macrocell Wireless Channel Model Based on Physic‐Inspired Support Vector Regression Algorithm Wireless Channel Model in Macrocell Environment.

Autoři: Yao, Qi Liu, Zhongyu Guo, Lixin a další

Zdroj: International Journal of Antennas & Propagation; 7/1/2025, Vol. 2025, p1-13, 13p

Témata: STANDARD deviations, ENVIRONMENTAL mapping, MACHINE learning, REGRESSION analysis, WIRELESS channels, ALGORITHMS

Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection.

Autoři: Roh, Seok-Beom Oh, Sung-Kwun Pedrycz, Witold a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Apr2022, Vol. 33 Issue 4, p1385-1399, 15p

Témata: SUPPORT vector machines, NEURAL circuitry

Research on optimization model of concrete proportioning based on particle swarm algorithm in construction engineering technology.

Autoři: Chi, Nianlong Yan, Liping

Zdroj: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p8213-8231, 19p

Témata: PARTICLE swarm optimization, CIVIL engineering, VECTOR autoregression model, CONCRETE construction, LEAST squares

Estimation of the Remaining Useful Life of Axially Loaded Members Through Nested Least-Square Support Vector Regression.

Autoři: Ojha, Shivam Shelke, Amit

Zdroj: Journal of Earthquake Engineering; Jan2025, Vol. 29 Issue 1, p243-264, 22p

Témata: REMAINING useful life, STANDARD deviations, CIVIL engineering, PHASE space, LEAST squares, STRUCTURAL health monitoring

کاربست الگوریت مهاي یادگیري ماشین براي تخمین تابش خورشید (مورد مطالعه: اقلیم خشک و نیم هخشک)

Alternate Title: Application of machine learning algorithms to estimate solar radiation (case study: arid and semi-arid climate).

Autoři: سمیه سلطانی گردفرامرزي هاجر مومنی

Zdroj: Iranian Journal of Geophysics (IJG). 2023, Vol. 17 Issue 4, p26-41. 16p.

Témata: *SOLAR radiation, *BIOENERGETICS, *PLANT growth, *MACHINE learning, *SUPPORT vector machines

Least square support vector regression analysis usage for estimating the uplift resistance of circular anchors in anisotropic clay.

Autoři: Li, Rong

Zdroj: Multiscale & Multidisciplinary Modeling, Experiments & Design; 10/25/2025, Vol. 9 Issue 1, p1-16, 16p

Uncertain least square support vector regression with imprecise observations.

Autoři: Zhang, Hao Sheng, Yuhong

Zdroj: Journal of Intelligent & Fuzzy Systems; 2024, Vol. 46 Issue 3, p6083-6092, 10p

Témata: LEAST squares, DATA science, SUPPORT vector machines, COMPUTATIONAL complexity

Maturity Classification and Quality Determination of Cherry Using VNIR Hyperspectral Images and Comprehensive Chemometrics.

Autoři: Wei, Yuzhen Yao, Siyi Wu, Feiyue a další

Zdroj: International Journal of Fruit Science; 2024, Vol. 24 Issue 1, p363-379, 17p

Témata: CONVOLUTIONAL neural networks, PARTIAL least squares regression, SUPPORT vector machines, FEATURE selection, WAVELET transforms, REGRESSION analysis, RADIAL basis functions

Prediction of Projectile Interception Point and Interception Time Based on Harris Hawk Optimization–Convolutional Neural Network–Support Vector Regression Algorithm.

Autoři: Gao, Zhanpeng Yi, Wenjun

Zdroj: Mathematics (2227-7390); Feb2025, Vol. 13 Issue 3, p338, 19p

Témata: CONVOLUTIONAL neural networks, DECISION making, REQUIREMENTS engineering, MATHEMATICAL optimization, TEST methods