Pessin, Gustavo; Osório, Fernando S.; Souza, Jefferson R.; Ueyama, Jó; Costa, Fausto G.; Wolf, Denis F.; Dimitrova, Desislava; Braun, Torsten; Vargas, Patrícia A. (2013). Investigation on the evolution of an indoor robotic localization system based on wireless networks. Applied Artificial Intelligence, 27(8), pp. 743-758. Taylor & Francis 10.1080/08839514.2013.823328
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This work addresses the evolution of an artificial neural network (ANN) to assist in the problem of indoor robotic localization. We investigate the design and building of an autonomous localization system based on information gathered from wireless networks (WN). The article focuses on the evolved ANN, which provides the position of a robot in a space, as in a Cartesian coordinate system, corroborating with the evolutionary robotic research area and showing its practical viability. The proposed system was tested in several experiments, evaluating not only the impact of different evolutionary computation parameters but also the role of the transfer functions on the evolution of the ANN. Results show that slight variations in the parameters lead to significant differences on the evolution process and, therefore, in the accuracy of the robot position.
|Item Type:||Journal Article (Original Article)|
|Division/Institute:||08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)
|UniBE Contributor:||Dimitrova, Desislava Cvetanova and Braun, Torsten|
|Subjects:||000 Computer science, knowledge & systems
500 Science > 510 Mathematics
|Publisher:||Taylor & Francis|
|Submitter:||Jonnahtan Eduardo Saltarin de Arco|
|Date Deposited:||10 Mar 2014 11:28|
|Last Modified:||05 Oct 2015 09:12|