The Performance Analysis of Extreme Learning Machines on Odour Recognition

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dc.contributor.authorEsme, Engin
dc.contributor.authorKiran, Mustafa Servet
dc.date.accessioned2020-03-26T20:11:35Z
dc.date.available2020-03-26T20:11:35Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description2nd International Conference on Cloud and Big Data Computing (ICCBDC) / 7th International Conference on Intelligent Information Processing (ICIIP) -- AUG 03-05, 2018 -- Barcelona, SPAINen_US
dc.description.abstractExtreme Learning Machine (ELM) is a single hidden layer feed-forward neural network learning method, which has a high generalization performance as well as faster. In this paper, odour data is discriminated based on the sensor response curve by using ELM, and the main objective is to investigate the optimum number of nodes in the hidden layer of ELM for olfactory detection. The relationship between the number of nodes in the hidden layer and the number of attributes or classes of dataset is queried to achieve the goal. Three odour datasets taken from different sources in literature and two transfer functions for the ELM are used to verify the results of the study. The backpropagation (BP) algorithm is also used for training an artificial neural network for comparison purposes. The analysis is performed for the three datasets by using ELM and BP and obtained results present that the time consumption of ELM is too small to be compared with BP even though the number of nodes is high and better accuracy rates are obtained by ELM.en_US
dc.description.sponsorshipNorthumbria Univ Newcastleen_US
dc.identifier.doi10.1145/3264560.3264575en_US
dc.identifier.endpage92en_US
dc.identifier.isbn978-1-4503-6474-4
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage87en_US
dc.identifier.urihttps://dx.doi.org/10.1145/3264560.3264575
dc.identifier.urihttps://hdl.handle.net/20.500.12395/37065
dc.identifier.wosWOS:000455838000018en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherASSOC COMPUTING MACHINERYen_US
dc.relation.ispartofPROCEEDINGS OF 2018 2ND INTERNATIONAL CONFERENCE ON CLOUD AND BIG DATA COMPUTING (ICCBDC 2018)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectExtreme Learning Machineen_US
dc.subjectMachine olfactionen_US
dc.subjectMOS sensorsen_US
dc.subjectArtificial neural networken_US
dc.titleThe Performance Analysis of Extreme Learning Machines on Odour Recognitionen_US
dc.typeConference Objecten_US

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