PATH LOSS PREDICTION BASED ON MACHINE LEARNING TECHNIQUES: SUPPORT VECTOR MACHINE, ARTIFICIAL NEURAL NETWORK, AND MULTILINEAR REGRESSION MODEL
Author(s) -
Joshua Idogho,
Gilbert George
Publication year - 2022
Publication title -
open journal of physical science (issn 2734-2123)
Language(s) - English
Resource type - Journals
ISSN - 2734-2123
DOI - 10.52417/ojps.v3i2.393
Subject(s) - mean squared error , artificial neural network , support vector machine , multilinear map , computer science , path loss , artificial intelligence , machine learning , regression , path (computing) , root mean square , reliability (semiconductor) , algorithm , data mining , statistics , mathematics , engineering , telecommunications , pure mathematics , wireless , programming language , power (physics) , physics , quantum mechanics , electrical engineering
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