Suchergebnisse - "linear regression algorithms"

Establishment of the Model for Estimating the Organic Carbon Content of Forest Topsoil Based on Remote Sensing Data

Autoren: Shulin Zheng Jie Zhang Mingyue Song et al.

Quelle: IEEE Access, Vol 12, Pp 162062-162074 (2024)

Schlagwörter: remote sensing data, linear regression algorithms, Topsoil organic carbon content, Electrical engineering. Electronics. Nuclear engineering, regression tree algorithms, TK1-9971

Zugangs-URL: https://doaj.org/article/5459c55b93254ff889db8e4281003f52

Penerapan Machine Learning Algoritma Regresi Linear Untuk Memprediksi Saham Bank BNI

Autoren: Andini, Novira Dwi Harahap, Syaiful Zuhri Nasution, Marnis

Quelle: INFORMATIKA; Vol 12, No 2 (2024): INFORMATIKA; 162-169 ; Jurnal Informatika; Vol 12, No 2 (2024): INFORMATIKA; 162-169 ; 2615-1855 ; 2303-2863

Schlagwörter: Machine Learning, Linear Regression Algorithms, Stocks, Predicting

Dateibeschreibung: application/pdf

Relation: https://jurnal.ulb.ac.id/index.php/informatika/article/view/5649/4013; https://jurnal.ulb.ac.id/index.php/informatika/article/view/5649

Verfügbarkeit: https://jurnal.ulb.ac.id/index.php/informatika/article/view/5649
https://doi.org/10.36987/informatika.v12i2.5649

IDENTIFY CHOLESTEROL DISEASE RISK LEVELS USING MULTIPLE LINEAR REGRESSION ALGORITHMS

Autoren: Haryadi, Deny Umi Atmaja, Dewi Marini

Quelle: JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer); Vol. 8 No. 1 (2022): JITK Issue August 2022; 10 - 17 ; 2527-4864 ; 2685-8223 ; 10.33480/jitk.v8i1

Schlagwörter: cholesterol disease, prediction, data mining, linear regression algorithms, RMSE

Dateibeschreibung: application/pdf

Relation: https://ejournal.nusamandiri.ac.id/index.php/jitk/article/view/3328/942; https://ejournal.nusamandiri.ac.id/index.php/jitk/article/view/3328

Verfügbarkeit: https://ejournal.nusamandiri.ac.id/index.php/jitk/article/view/3328

Applying machine learning techniques for forecasting flexibility of virtual power plants

Autoren: Macdougall, P. Kosek, A.M. Bindner, H. et al.

Weitere Verfasser: Macdougall, P. Kosek, A.M. Bindner, H. et al.

Quelle: 2016 IEEE Electrical Power and Energy Conference (EPEC). :1-6

Schlagwörter: Artificial intelligence, Neural Networks, Multivariate linear regressions, Heating equipment, Smart grid, Learning algorithms, Random number generation, Smart Grids, E-learning, Heating, Linear regression algorithms, Aggregation, Smart power grids, Linear regression, Supervised machine learning, Energy flexibility, Heating system, Demand response, Learning systems, Agglomeration, Commerce, Network layers, Heating Systems, Electronic trading, Prediction, Machine learning techniques, Regression analysis, Neural networks, Supervised learning, Forecasting

Zugangs-URL: http://ieeexplore.ieee.org/document/7771738/
https://repository.tudelft.nl/view/tno/uuid:22f7225a-90a2-4cf2-96b8-e26a70e86108
https://ieeexplore.ieee.org/document/7771738/
https://orbit.dtu.dk/en/publications/applying-machine-learning-techniques-for-forecasting-flexibility-of-virtual-power-plants(0c3b8b7d-0c8c-4ba8-819c-b288216c6e69).html
https://repository.tno.nl/islandora/object/uuid%3A22f7225a-90a2-4cf2-96b8-e26a70e86108
https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3A22f7225a-90a2-4cf2-96b8-e26a70e86108
https://resolver.tno.nl/uuid:22f7225a-90a2-4cf2-96b8-e26a70e86108

Existence of stationary points for pseudo-linear regression identification algorithms

Autoren: Phillip A. Regalia Mamadou Mboup Mehdi Ashari

Quelle: IEEE Transactions on Automatic Control. 44:994-998

Schlagwörter: undermodeling, 0209 industrial biotechnology, adaptive identification, Identification in stochastic control theory, 0202 electrical engineering, electronic engineering, information engineering, pseudo-linear regression algorithms, stationary disturbance, reduced order model, 02 engineering and technology

Dateibeschreibung: application/xml

Zugangs-URL: http://www-public.tem-tsp.eu/%7Eregalia/personal/articles/ac-may-99.pdf
https://zbmath.org/1518282
https://doi.org/10.1109/9.763215
http://www-public.tem-tsp.eu/~regalia/personal/articles/ac-may-99.pdf
https://dblp.uni-trier.de/db/journals/tac/tac44.html#RegaliaMA99
https://ieeexplore.ieee.org/document/763215/

Penerapan algoritma linear regression dalam prediksi jumlah kendaraan bermotor di Malang / Eka Widyartha Kusuma

Autoren: Kusuma, Eka Widyartha 1. Muladi ; 2. Triyanna Widyaningtyas

Index Begriffe: 1. ALGORITMA LINEAR REGRESSION ( PROGRAM KOMPUTER ) 2. LINEAR REGRESSION ALGORITHMS ( COMPUTER PROGRAMS ), ##rt.metadata.pkp.peerReviewed##

URL: http://mulok.library.um.ac.id/oaipmh/../home.php?s_data=Skripsi&s_field=0&mod=b&cat=3&id=92015