Function Approximation via Block Pulse Function and Related Functions

2018 ◽  
pp. 35-54
Author(s):  
Anish Deb ◽  
Srimanti Roychoudhury
Keyword(s):  
Function Approximation ◽  
Block Pulse Function

An improvement on the digital redesign method based on the block-pulse function approximation

1993 ◽  
Vol 12 (1) ◽  
pp. 37-49 ◽  
Author(s):  
J. S. H. Tsai ◽  
L. S. Shieh ◽  
J. L. Zhang
Keyword(s):  
Function Approximation ◽  
Digital Redesign ◽  
Block Pulse Function

On the Use of Function Approximation Potential of Artificial Neural Networks for Predicting Elastic Moduli of Binary Oxide Glass Systems

2012 ◽  
Vol 3 (2) ◽  
pp. 186-189
Author(s):  
Dr.R.Sheelarani Dr.R.Sheelarani ◽  
◽  
Dr. K.T. Arulmozhi Dr. K.T. Arulmozhi
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Function Approximation ◽  
Elastic Moduli ◽  
Binary Oxide ◽  
Oxide Glass ◽  
Artificial Neural

A Technique for Improving the Positioning Accuracy of Maximum-Correlation Radio Navigation Systems Through the Use of Decision Function Approximation Methods

2002 ◽  
Vol 58 (9-10) ◽  
pp. 9
Author(s):  
Valeriy Ivanovich Antyufeev ◽  
I.E. Bakulin ◽  
V. N. Bykov ◽  
A. M. Grichanyuk ◽  
T.V. Miroshnik-Bykova
Keyword(s):  
Function Approximation ◽  
Decision Function ◽  
Approximation Methods ◽  
Navigation Systems ◽  
Maximum Correlation ◽  
Positioning Accuracy ◽  
Radio Navigation

A stochastic operational matrix method for numerical solutions of multi-dimensional stochastic Itô–Volterra integral equations

2020 ◽  
Vol 28 (3) ◽  
pp. 209-216
Author(s):  
S. Singh ◽  
S. Saha Ray
Keyword(s):  
Integral Equations ◽  
Numerical Solutions ◽  
Operational Matrix ◽  
Approximate Solutions ◽  
Volterra Integral Equations ◽  
Numerical Examples ◽  
Operational Matrix Method ◽  
Block Pulse Functions ◽  
Stochastic Operational Matrix ◽  
Block Pulse Function

AbstractIn this article, hybrid Legendre block-pulse functions are implemented in determining the approximate solutions for multi-dimensional stochastic Itô–Volterra integral equations. The block-pulse function and the proposed scheme are used for deriving a methodology to obtain the stochastic operational matrix. Error and convergence analysis of the scheme is discussed. A brief discussion including numerical examples has been provided to justify the efficiency of the mentioned method.

scholarly journals Optimal function approximation with ReLU neural networks

2021 ◽  
Vol 435 ◽  
pp. 216-227
Author(s):  
Bo Liu ◽  
Yi Liang
Keyword(s):  
Neural Networks ◽  
Function Approximation ◽  
Optimal Function

Thermal analysis of a moving fin using the radial basis function approximation

Heat Transfer ◽  
2021 ◽  
Author(s):  
Maryam Fallah Najafabadi ◽  
Hossein Talebi Rostami ◽  
Khashayar Hosseinzadeh ◽  
Davood Domiri Ganji
Keyword(s):  
Thermal Analysis ◽  
Radial Basis Function ◽  
Basis Function ◽  
Function Approximation ◽  
Radial Basis ◽  
Radial Basis Function Approximation
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