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dc.contributor.authorMona, Tahmasebi
dc.contributor.authorRoslan, Abd Rahman
dc.contributor.authorMohammad Gohari
dc.date.accessioned2012-07-19T13:14:47Z
dc.date.available2012-07-19T13:14:47Z
dc.date.issued2012-02-27
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/20493
dc.descriptionInternational Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.en_US
dc.description.abstractSpray booms are usually used in farming to broadcast pesticide and chemicals. Nowadays, the widths of sprayers are increasing permanently due to increase in the width of farm yards. This issue leads to unwanted vibration in sprayer, causing overdoses or under-doses on the field. In active vibration control of sprayers, a model to predict the dynamical behavior of sprayer is necessary. In this study, a novel method is presented to predict dynamic behavior in spray boom by using artificial neural network modeling. The agreement between predicted values model and actual values is near 73%. The accuracy of this model shows this model can be applicable in adaptive control systems.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)en_US
dc.subjectArtificial neural networken_US
dc.subjectVibration of spray boomen_US
dc.subjectMathematical modelen_US
dc.titleArtificial neural network model for prediction of dynamical behavior in spray boomen_US
dc.typeWorking Paperen_US
dc.publisher.departmentSchool of Mechatronic Engineeringen_US
dc.contributor.urltahmasebi.mona@gmail.comen_US


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