3rd International eConference on Computer and Knowledge Engineering (ICCKE 2013 , 2013-10-31

Title : ( A New Algorithm Based On Reinforcement Learning For Regressor Selection In The Least Square Estimation )

Authors: Parisa Tavakkoli Heravi , Ali Karimpour ,

Citation: BibTeX | EndNote

Abstract

Structure identification means determining the model and it’s details, like the number of regressor in the least square estimation. This is one of the most important problems in system modeling and identification. In this paper a new algorithm based on reinforcement learning is presented for structure identification in least square estimation. The results of the new algorithm are compared with that of the subset selection methods and the steepest descent. Online structure identification is one of the advantages of the proposed method.

Keywords

Structure Identification; Least Square Estimation; Reinforcement Learning
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@inproceedings{paperid:1041745,
author = {Tavakkoli Heravi, Parisa and Karimpour, Ali},
title = {A New Algorithm Based On Reinforcement Learning For Regressor Selection In The Least Square Estimation},
booktitle = {3rd International eConference on Computer and Knowledge Engineering (ICCKE 2013},
year = {2013},
location = {مشهد, IRAN},
keywords = {Structure Identification; Least Square Estimation; Reinforcement Learning},
}

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%0 Conference Proceedings
%T A New Algorithm Based On Reinforcement Learning For Regressor Selection In The Least Square Estimation
%A Tavakkoli Heravi, Parisa
%A Karimpour, Ali
%J 3rd International eConference on Computer and Knowledge Engineering (ICCKE 2013
%D 2013

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