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Evolutionary Function Approximation
Adaptive Representations for Reinforcement Learning - Studies in Computational Intelligence
◽
10.1007/978-3-642-13932-1_4
◽
2010
◽
pp. 31-46
Author(s):
Shimon Whiteson
Keyword(s):
Function Approximation
◽
Evolutionary Function
Download Full-text
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Nature-Inspired Computing for Control Systems - Studies in Systems, Decision and Control
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10.1007/978-3-319-26230-7_10
◽
2015
◽
pp. 265-289
Author(s):
Oscar A. Silva
◽
Miguel A. Solis
Keyword(s):
Function Approximation
◽
Legged Robots
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◽
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Sample-Efficient Evolutionary Function Approximation
Adaptive Representations for Reinforcement Learning - Studies in Computational Intelligence
◽
10.1007/978-3-642-13932-1_5
◽
2010
◽
pp. 47-52
Author(s):
Shimon Whiteson
Keyword(s):
Function Approximation
◽
Evolutionary Function
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An Evolutionary Function Approximation Approach to Compute Prediction in XCSF
Machine Learning: ECML 2005 - Lecture Notes in Computer Science
◽
10.1007/11564096_57
◽
2005
◽
pp. 584-592
◽
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Author(s):
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◽
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Keyword(s):
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◽
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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
◽
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
◽
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◽
W. HOYT
Keyword(s):
Anomaly Detection
◽
Test Data
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Function Approximation
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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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