A comparison of four data selection methods for artificial neural networks and support vector machines

The performance of data-driven models such as Artificial Neural Networks and Support Vector Machines relies to a good extent on selecting proper data throughout the design phase. This paper addresses a comparison of four unsupervised data selection methods including random, convex hull based, entrop...

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Bibliographic Details
Main Author: Khosravani, Hamid Reza (author)
Other Authors: Ruano, Antonio (author), Ferreira, P. M. (author)
Format: conferenceObject
Language:eng
Published: 2019
Subjects:
Evolutionary algorithms
Multiobjective optimization
Online Access:http://hdl.handle.net/10400.1/13292
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/13292

Internet

http://hdl.handle.net/10400.1/13292

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