Results 81 to 90 of about 59,339 (255)
A loudspeaker response interpolation model based on one-twelfth octave interval frequency measurements [PDF]
A practical loudspeaker frequency response interpolation model is developed using a modification of the Tuneable Approximate Piecewise Linear Regression (TAPLR) model that can provide a complete magnitude and phase response over the full frequency range ...
Zaknich, A.
core +1 more source
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang +6 more
wiley +1 more source
Radial basis function network learns ceramic processing and predicts related strength and density [PDF]
Radial basis function (RBF) neural networks were trained using the data from 273 Si3N4 modulus of rupture (MOR) bars which were tested at room temperature and 135 MOR bars which were tested at 1370 C.
Baaklini, George Y. +3 more
core +1 more source
Bus Travel TIME in the Mixed Traffic Based on Statistica Neural Network [PDF]
This paper presents the assessment of a number of factors affecting bus travel time and a relationship model between those factors and bus travel time. Statistica Neural Network (SNN) tool is used to solve this complex phenomenon.
Kamaruddin, I. (Ibrahim) +3 more
core
ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu +5 more
wiley +1 more source
A CASE STUDY ON SUPPORT VECTOR MACHINES VERSUS ARTIFICIAL NEURAL NETWORKS [PDF]
The capability of artificial neural networks for pattern recognition of real world problems is well known. In recent years, the support vector machine has been advocated for its structure risk minimization leading to tolerance margins of decision ...
Lin, Wen-Chyi
core
Objectives Femoroacetabular impingement (FAI) and synovitis have been recognized as essential factors for developing osteoarthritis (OA) in the hip joints. However, little is known about altered synovial cellular compositions, their associated transcriptomic profiles, and cell‐cell interactions in FAI and hip OA.
Gulzada Kulzhanova +9 more
wiley +1 more source
In this paper, the radial basis function (RBF) neural network was modified by data assimilation method to improve the modeling accuracy of high-dimensional aerodynamics. A correction factor γ was introduced into the kernel function of the traditional RBF
Ying ZHANG +3 more
doaj +1 more source
A New Localization Algorithm Based on Taylor Series Expansion for NLOS Environment
In Non-Line-Of-Sight (NLOS) environment, location accuracy of Taylorseries expansion location algorithm degrades greatly. A new Taylor-series expansion location algorithm based on self-adaptive Radial-Basis-Function (RBF) neural network is proposed in ...
Ren Jin, Chen Jingxing, Bai Wenle
doaj +1 more source
RBF-MLMR: A Multi-Label Metamorphic Relation Prediction Approach Using RBF Neural Network
Metamorphic testing has been successfully used in many different fields to solve the test oracle problem. However, how to find a set of appropriate metamorphic relations for metamorphic testing remains a complicated and tedious task.
Pengcheng Zhang +3 more
doaj +1 more source

