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Kernel Networks for Function Approximation
Engineering Applications of Neural Networks - Communications in Computer and Information Science
◽
10.1007/978-3-319-44188-7_22
◽
2016
◽
pp. 295-306
Author(s):
David Coufal
Keyword(s):
Function Approximation
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References
On the Use of Function Approximation Potential of Artificial Neural Networks for Predicting Elastic Moduli of Binary Oxide Glass Systems
Global Journal For Research Analysis
◽
10.15373/22778160/february2014/60
◽
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
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Elastic Moduli
◽
Binary Oxide
◽
Oxide Glass
◽
Artificial Neural
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A Technique for Improving the Positioning Accuracy of Maximum-Correlation Radio Navigation Systems Through the Use of Decision Function Approximation Methods
Telecommunications and Radio Engineering
◽
10.1615/telecomradeng.v58.i9-10.150
◽
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
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A function approximation approach to anomaly detection in propulsionsystem test data
10.2514/6.1993-1776
◽
1993
◽
Cited By ~ 1
Author(s):
BRUCE WHITEHEAD
◽
W. HOYT
Keyword(s):
Anomaly Detection
◽
Test Data
◽
Function Approximation
◽
Approximation Approach
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Stochastic Simulation Techniques for Partition Function Approximation of Gibbs Random Field Images
10.21236/ada238611
◽
1991
◽
Cited By ~ 4
Author(s):
Gerasimos Potamianos
◽
John Goutsias
Keyword(s):
Partition Function
◽
Random Field
◽
Stochastic Simulation
◽
Function Approximation
◽
Gibbs Random Field
◽
Simulation Techniques
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Reconfigurable field‐programmable gate array‐based on‐chip learning neuromorphic digital implementation for nonlinear function approximation
International Journal of Circuit Theory and Applications
◽
10.1002/cta.3075
◽
2021
◽
Author(s):
Morteza Gholami
◽
Edris Zaman Farsa
◽
Gholamreza Karimi
Keyword(s):
Field Programmable Gate Array
◽
Function Approximation
◽
Nonlinear Function
◽
Digital Implementation
◽
Field Programmable
◽
Gate Array
◽
On Chip
◽
Nonlinear Function Approximation
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Gradient based empirical cumulative distribution function approximation for robust aerodynamic design
Aerospace Science and Technology
◽
10.1016/j.ast.2021.106630
◽
2021
◽
pp. 106630
Author(s):
Elisa Morales
◽
Andrea Bornaccioni
◽
Domenico Quagliarella
◽
Renato Tognaccini
Keyword(s):
Distribution Function
◽
Function Approximation
◽
Cumulative Distribution Function
◽
Cumulative Distribution
◽
Aerodynamic Design
◽
Empirical Cumulative Distribution Function
◽
Gradient Based
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Optimal function approximation with ReLU neural networks
Neurocomputing
◽
10.1016/j.neucom.2021.01.007
◽
2021
◽
Vol 435
◽
pp. 216-227
Author(s):
Bo Liu
◽
Yi Liang
Keyword(s):
Neural Networks
◽
Function Approximation
◽
Optimal Function
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Thermal analysis of a moving fin using the radial basis function approximation
Heat Transfer
◽
10.1002/htj.22242
◽
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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Concentration bounds for temporal difference learning with linear function approximation: the case of batch data and uniform sampling
Machine Learning
◽
10.1007/s10994-020-05912-5
◽
2021
◽
Author(s):
L. A. Prashanth
◽
Nathaniel Korda
◽
Rémi Munos
Keyword(s):
Linear Function
◽
Function Approximation
◽
Temporal Difference
◽
Temporal Difference Learning
◽
Uniform Sampling
◽
Linear Function Approximation
◽
Concentration Bounds
◽
Batch Data
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Interstice: Inverter-Based Memristive Neural Networks Discretization for Function Approximation Applications
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
◽
10.1109/tvlsi.2020.2991795
◽
2020
◽
Vol 28
(7)
◽
pp. 1578-1588
◽
Cited By ~ 1
Author(s):
Shaghayegh Vahdat
◽
Mehdi Kamal
◽
Ali Afzali-Kusha
◽
Massoud Pedram
Keyword(s):
Neural Networks
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Function Approximation
◽
Memristive Neural Networks
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