Please use this identifier to cite or link to this item: https://publication.npru.ac.th/jspui/handle/123456789/806
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dc.contributor.authorLimkulakhom, Thada-
dc.contributor.authorJaturawiyasat, Supachai-
dc.contributor.authorManawakrit, Wikorn-
dc.contributor.authorHengpraphrom, Kairung-
dc.date.accessioned2020-10-12T07:04:59Z-
dc.date.available2020-10-12T07:04:59Z-
dc.date.issued2020-07-10-
dc.identifier.urihttps://publication.npru.ac.th/jspui/handle/123456789/806-
dc.description.abstractThe objective of this research is to study and compare forecasting techniques suitable for data forecasting. Bike Sharing in this research has selected 3 techniques for using in this research, Linear Regression. neural network and decision tree In order to find the best forecasting performance in the Bike of Sharing data group. Techniques that give the best results are Linear regression Where the square root of the mean squared error is 0.005 +/- 0.009, followed by the artificial neural network Where the square root of the mean square mean is 2.710 +/- 0.000 and the final is Decision tree By giving the square root of the mean squared mean value of 5.768 +/- 0.000en_US
dc.subjectregressionen_US
dc.subjectLinear Regressionen_US
dc.subjectneural networken_US
dc.subjectdecision treeen_US
dc.titleA Comparison of the Efficiency of Regression Bike Sharing Dataset by Data Mining Techniqueen_US
Appears in Collections:Proceedings of the 12th NPRU National Academic Conference

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