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

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Evolutionary Function Approximation for Gait Generation on Legged Robots

Nature-Inspired Computing for Control Systems - Studies in Systems, Decision and Control ◽

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 ◽

Gait Generation ◽

Evolutionary Function

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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 ◽

Cited By ~ 2

Author(s):

Ali Hamzeh ◽

Adel Rahmani

Keyword(s):

Function Approximation ◽

Approximation Approach ◽

Evolutionary Function

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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 ◽

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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