Fast Control Gradient Algorithm for Simple and Multiple Linear Regression Model

Fast Control Gradient Algorithm for Simple and Multiple Linear Regression Model

Abdelkrim El Mouatasim

Contact

Université Ibn Zohr

Fast Control Gradient Algorithm for Simple and Multiple Linear Regression Model

Article Fingerprint

ReserarchID

SR93J

Fast Control Gradient Algorithm for Simple and Multiple Linear Regression Model Banner

AI TAKEAWAY

Connecting with the Eternal Ground

References

24 Cites in Article

Reference Format

Jan Adamowski,Christina Karapataki (2010). Comparison of Multivariate Regression and Artificial Neural Networks for Peak Urban Water-Demand Forecasting: Evaluation of Different ANN Learning Algorithms.
Samprit Chatterjee,Jeffrey Simonoff (2013). Handbook of Regression Analysis With Applications in R.
Zhihui Chen,Fumin Zou,Lyuchao Liao,Siqi Gao,Meirun Zhang,Jie Chun (2019). Prediction of Electrical Energy Output for Combined Cycle Power Plant with Different Regression Models.
Paulo Cortez,António Cerdeira,Fernando Almeida,Telmo Matos,José Reis (2009). Modeling wine preferences by data mining from physicochemical properties.
Ayşe Demirhan (2018). PERFORMANCE OF MACHINE LEARNING METHODS IN DETERMINING THE AUTISM SPECTRUM DISORDER CASES.
A Mouatasim,R Ellaia,J Souza De Cursi (2014). Stochastic perturbation of reduced gradient & GRG methods for nonconvex programming problems.
A El Mouatasim,M Wakrim (2015). Control Subgradient Algorithm for Image Regularization.
A El Mouatasim (2017). Simple and Multi Linear Regression Model of Verbs in Quran.
A Mouatasim,Y Darmane (2018). Regression analysis of a photovoltaic (PV) system in FPO.
A El Mouatasim (2019). Control proximal gradient algorithm for image $$\ell _1$$ ℓ 1 regularization.
Y Ever,K Dimililer,B Sekeroglu (2019). Comparison of Machine Learning Techniques for Prediction Problems.
R Freund,W Wilson,P Sa (2006). Regression analysis: statistical modeling of a response variable.
K Huang,A Hussain,Q Wang,R Zhang (2019). Deep Learning: Fundamentals, Theory and Applications.
J Lakshmi (2016). Stochastic Gradient Descent using Linear Regression with Python.
Yurii Nesterov (2004). Nonsmooth Convex Optimization.
B Shi,S Lyengar (2020). Mathematical Theories of Machine Learning: Theory and Applications.
Aditya Shinde,Purva Raut (2020). Comparative Study of Regression Models and Deep Learning Models for Insurance Cost Prediction.
Abdullah Smadi,Nour Abu-Afouna (2012). On Least Squares Estimation in a Simple Linear Regression Model with Periodically Correlated Errors: A Cautionary Note.
J Rawlings,S Pantula,D Dickey (1998). Applied regression analysis: A research tool.
Fadi Thabtah (2017). Machine learning in autistic spectrum disorder behavioral research: A review and ways forward.
P Tufekci (2014). Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods.
Yusuf Türkan,Hacer Yumurtacı Aydoğmuş,Hamit Erdal (2016). The prediction of the wind speed at different heights by machine learning methods.
' Uryas,S (1991). New Variable-Metric Algorithms for Nondifferentiable Optimization Problems.
L Xinhua,Y Qian (2015). Face Recognition based on Deep Neural Network.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Abdelkrim El Mouatasim. 2019. \u201cFast Control Gradient Algorithm for Simple and Multiple Linear Regression Model\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 19 (GJSFR Volume 19 Issue F4).

More Citation Formats

Select Citation Style:

Download Citation

GJSFR Volume 19 Issue F4

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

Not Found

Classification

GJSFR-F Classification MSC 2010: 62J05

Submission ReceivedOctober 13, 2019
Peer Review Double Blind
Handling Editor
Accepted November 7, 2019
Published November 18, 2019

Version of record

v1.2

Issue date

November 25, 2019

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Views: 2639

Total Downloads: 1353

2026 Trends

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]