Suchergebnisse - "Kernel function"

Speech emotion recognition algorithm of intelligent robot based on ACO-SVM

Autoren: Xueliang Kang

Quelle: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 131-142 (2025)

Schlagwörter: ACO, Speech emotion recognition, SVM, Electronic computers. Computer science, Science, GA, Kernel function, QA75.5-76.95, Feature dimension reduction

Zugangs-URL: https://doaj.org/article/9d1a7abc3f9b48cea5a05f27f9ea25c6

Quantum-Assisted Gaussian Process Regression Using Random Fourier Features

Autoren: Galvis-Florez, Cristian A. Farooq, Ahmad Särkkä, Simo

Quelle: 2025 IEEE International Conference on Quantum Software (QSW). :22-27

Schlagwörter: quantum principal component analysis, Quantum-assisted algorithm, Machine Learning, FOS: Computer and information sciences, Quantum Physics, random Fourier features, kernel function approximation, Computation, FOS: Physical sciences, Machine Learning (stat.ML), Quantum Physics (quant-ph), Gaussian process regression, Computation (stat.CO)

Zugangs-URL: http://arxiv.org/abs/2507.22629
https://cris.vtt.fi/en/publications/9b2782a5-2ddc-451a-bb4d-760ba039b310
https://doi.org/10.1109/QSW67625.2025.00012

Sentiment Analysis Optimization Using Ensemble of Multiple SVM Kernel Functions

Autoren: M. Khairul Anam Lestari, Tri Putri Efrizoni, Lusiana et al.

Quelle: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 9 No 4 (2025): August 2025; 905-914

Schlagwörter: Support Vector Machine, Kernel Function, Sentiment Analysis, SMOTE, Ensemble Learning

Dateibeschreibung: application/pdf

Zugangs-URL: https://jurnal.iaii.or.id/index.php/RESTI/article/view/6708

Vahşi doğada para takibi: Türkiye av turizmi gelir tahmini için destek vektör regresyonundaki çekirdek fonksiyonlarının etkinliği

Autoren: Deniz Kaya Nurbanu Bursa

Quelle: Volume: 12, Issue: 147-58
Turkish Journal of Forestry Research
Ormancılık Araştırma Dergisi

Schlagwörter: Ormancılık Politikası, Ekonomisi ve Hukuku, Avcılık, av turizmi, çekirdek fonksiyonu, destek vektör regresyonu, turizm, Forestry Sciences (Other), Hunting, hunting tourism, kernel function, support vector regression, tourism, Forestry Politics, Economics and Law, Ormancılık (Diğer)

Dateibeschreibung: application/pdf

Zugangs-URL: https://dergipark.org.tr/tr/pub/ogmoad/issue/88542/1531543

Multidimensional seismic fragility analysis of subway station structures using the adaptive bandwidth kernel density estimation and Copula function

Autoren: Chunyi Cui Jingtong Zhao Minze Xu et al.

Quelle: Underground Space, Vol 22, Iss, Pp 110-123 (2025)

Schlagwörter: Gaussian kernel function, Multidimensional seismic fragility, TA703-712, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, Subway station structure, Adaptive bandwidth kernel density estimation, Copula function

Zugangs-URL: https://doaj.org/article/7e18927c91a54540827d5b4423502c4b

Forest losses are associated with oil and gas seismic cutlines in Northeastern British Columbia, Canada

Autoren: Joseph Oduro Appiah

Quelle: Discover Geoscience, Vol 3, Iss 1, Pp 1-18 (2025)

Schlagwörter: Energy development, Geophysical survey, Geospatial modeling, Quartic kernel function, British Columbia, Geology, QE1-996.5, Geophysics. Cosmic physics, QC801-809

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2948-1589

Zugangs-URL: https://doaj.org/article/4a1c57a4ad90422ca7372ebb253a4ffb

PMWFCM: A Possibility based MultiKernel Weighted Fuzzy Clustering Algorithm for classification of driving behaviors

Autoren: Ning Ma Kaijun Wu Yubin Yuan et al.

Quelle: Alexandria Engineering Journal, Vol 113, Iss, Pp 249-261 (2025)

Schlagwörter: Traffic driving assessment, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Kernel function, Fuzzy clustering algorithm, Possibilistic fuzzy clustering, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General), 01 natural sciences

Zugangs-URL: https://doaj.org/article/43cb12dcf3a14505be449c45f340a853

Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier

Autoren: Farzaneh Pourahmadi Jalal Kazempour

Quelle: Pourahmadi, F & Kazempour, J 2025, ' Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier ', IEEE Transactions on Power Systems, vol. 40, no. 1, pp. 715-727 . https://doi.org/10.1109/TPWRS.2024.3400405

Schlagwörter: Gaussian kernel function, FOS: Computer and information sciences, Computer Science - Machine Learning, Support vector machine, Warm start, Conic programming, 0211 other engineering and technologies, 02 engineering and technology, Statistics - Applications, Unit commitment, Machine Learning (cs.LG), 03 medical and health sciences, 0302 clinical medicine, Optimization and Control (math.OC), FOS: Mathematics, Applications (stat.AP), Mathematics - Optimization and Control

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2310.08601
https://orbit.dtu.dk/en/publications/389d327e-2158-46b1-855e-d49eff65b5c3

Short-Term Power Load Forecasting Based on DPSO-LSSVM Model

Autoren: Shujun Ji Linhao Zhang Jinteng Wang et al.

Quelle: IEEE Access, Vol 13, Pp 32211-32224 (2025)

Schlagwörter: power load, dynamic particle swarm optimization algorithm, short-term, Electrical engineering. Electronics. Nuclear engineering, radial basis kernel function, LSSVM, TK1-9971

Zugangs-URL: https://doaj.org/article/bbf0f526c81147e8bba1125cb9ae6f9b

Inverse wheel–rail contact force and crossing irregularity identification from measured sleeper accelerations – A model-based Green's function approach

Autoren: Milosevic, Marko Pålsson, Björn Nissen, A. et al.

Quelle: Driving research and innovation to push Europe's rail system forward (IN2TRACK3) In2Track-2 (CHARMEC EU19) Journal of Sound and Vibration. 589

Schlagwörter: Inverse problem, Irregularity identification, Green's kernel function method, Force identification, Railway crossing, Condition monitoring

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/541931
https://research.chalmers.se/publication/541931/file/541931_Fulltext.pdf

Quantile-Based Fuzzy Semi-Parametric Support Vector Regression Model Based on Autoregressive Fuzzy Terms: An Estimation Approach

Autoren: Salamah, Batoul Zarei, Reza Mehrdoust, Farshid et al.

Schlagwörter: Support vector machine, Quantile regression, Goodness-of-fit measure, Fuzzy correlated errors, Kernel function, Fuzzy semi-parametric model

An anomaly analysis method for measurement data based on similarity metric and improved deep reinforcement learning under the power Internet of Things architecture

Autoren: Chen Ximing Gan Yeping Ren Min et al.

Quelle: Journal of Intelligent Systems, Vol 34, Iss 1, Pp 2675-84 (2025)

Schlagwörter: analysis of abnormal measurement data, power internet of things, similarity metric, lstm-dqn network, kernel function optimization fuzzy c clustering algorithm, Science, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2191-026X

Zugangs-URL: https://doaj.org/article/01ed536fb2f04504bdd4dbceed4aeacb

A brief overview of several earthquake catalog visualization methods

Autoren: Pei He Huai Zhang Yaolin Shi

Quelle: 地球与行星物理论评, Vol 56, Iss 4, Pp 361-371 (2025)

Schlagwörter: seismic catalog visualization, gaussian kernel function, southwest china, data mining, magnitude-frequency diagram, Geophysics. Cosmic physics, QC801-809, Astrophysics, QB460-466

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2097-1893

Zugangs-URL: https://doaj.org/article/e620264fceac445fa923f8aaea998cd0

Interactive image segmentation algorithm based on adaptive kernel learning

Autoren: LONG Jianwu LI Jihao

Quelle: Tongxin xuebao, Vol 46, Pp 249-261 (2025)

Schlagwörter: interactive image segmentation, superpixel segmentation, energy function, Gaussian kernel function, parameter adaptive optimization, Telecommunication, TK5101-6720

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1000-436X

Zugangs-URL: https://doaj.org/article/789eaecddeee41eb91798c1cb89432c5

A multi-layer kernel extreme learning machine model based on the fusion algorithm for the remaining useful life prediction of lithium-ion batteries

Autoren: Chen, Lei Bai, Liping Wei, Xiaoding et al.

Quelle: Ionics.

Schlagwörter: Fusion health indicator, Genetic particle swarm optimization algorithm, Multiple layer extreme learning machine, Lithium-ion battery, Kernel function

Zugangs-URL: https://rgu-repository.worktribe.com/output/2974007

FEM-PIKFNN for underwater acoustic propagation induced by structural vibrations in different ocean environments

Autoren: Qiang Xi Zhuojia Fu Wenzhi Xu et al.

Quelle: Computers & Mathematics with Applications. 176:46-54

Schlagwörter: Geophysics, Mechanics of deformable solids, shallow physics-informed neural network, physics-informed kernel function, finite element method, ocean acoustic propagation, structural vibration

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/7967236
https://doi.org/10.1016/j.camwa.2024.09.007

Improved lithium battery state of health estimation and enhanced adaptive capacity of innovative kernel extreme learning machine optimized by multi-strategy dung beetle algorithm

Autoren: Mo, Daijiang Wang, Shunli Zhang, Mengyun et al.

Quelle: Ionics. 31:329-343

Schlagwörter: Dung beetle optimization algorithm, Sparrow algorithm, Lithium battery state of health, Cosine polynomial kernel function, Kernel extreme learning machine

Zugangs-URL: https://rgu-repository.worktribe.com/output/2593207

A data-adaptive network design for the regional gravity field modelling using spherical radial basis functions

Autoren: Fang Zhang Huanling Liu Hanjiang Wen

Quelle: Geodesy and Geodynamics, Vol 15, Iss 6, Pp 627-634 (2024)

Schlagwörter: QB275-343, QC801-809, Geophysics. Cosmic physics, Poisson kernel function, Regional gravity field modelling, Spherical radial basis functions, HDBSCAN clustering algorithm, 01 natural sciences, Geodesy, 0105 earth and related environmental sciences

Zugangs-URL: https://doaj.org/article/49f181bc1b35462b93d49e154530ab7d

Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine

Autoren: FU Qiang HU Dong YANG Tongliang et al.

Quelle: Jixie qiangdu, Vol 47, Pp 48-56 (2025)

Schlagwörter: Compressed sensing, Bearing, Kernel function, Extreme learning machine, Fault diagnosis, Mechanical engineering and machinery, TJ1-1570, Materials of engineering and construction. Mechanics of materials, TA401-492

Dateibeschreibung: electronic resource

Relation: http://www.jxqd.net.cn/thesisDetails#DOI：10.16579/j.issn.1001.9669.2025.06.006; https://doaj.org/toc/1001-9669

Zugangs-URL: https://doaj.org/article/2d752607f01444a887df8aab8764b3a9

Twin-Hypersphere Support Vector Machine Algorithm Based on Weighted Local Density

Autoren: WANG Mengzhen, ZHANG Desheng, ZHANG Xiao

Quelle: Jisuanji gongcheng, Vol 51, Iss 5, Pp 188-195 (2025)

Schlagwörter: support vector machine(svm), local density, feature weighting, information gain, kernel function, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20250519.pdf; https://doaj.org/toc/1000-3428

Zugangs-URL: https://doaj.org/article/b621a0108ba344efac44a70f968c6544