International advance computing conference , 2013-02-22

Title : ( Adaptive Case-Based Reasoning Using Support Vector Regression )

Authors: mansoore sharifi , Mahmoud Naghibzadeh , Mojtaba Rouhani ,

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one important step in case-based reasoning systems is the adaptation phase. This paper presents a case-based reasoning system which automatically adapts past solutions to propose a solution for new problems. The proposed method for case adaptation is based on support vector regression. At first, case base is partitioned using SOM technique. Then, a support vector regression is constructed for each cluster using local information. For solving a new problem, its local information is computed with respect to the most similar cluster and the corresponding support vector regression propose a solution. Experiment shows this approach greatly improves the accuracy of a retrieve-only CBR system with minimizing each didactic model.


, Case-based reasoning, Adaptation, Support vector regression, Clustering
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author = {Sharifi, Mansoore and Naghibzadeh, Mahmoud and Mojtaba Rouhani},
title = {Adaptive Case-Based Reasoning Using Support Vector Regression},
booktitle = {International advance computing conference},
year = {2013},
location = {Ghaziabad, INDIA},
keywords = {Case-based reasoning; Adaptation; Support vector regression; Clustering},


%0 Conference Proceedings
%T Adaptive Case-Based Reasoning Using Support Vector Regression
%A Sharifi, Mansoore
%A Naghibzadeh, Mahmoud
%A Mojtaba Rouhani
%J International advance computing conference
%D 2013