Predicting the breaking strength of a rotor spun yarn using ANFIS.

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dc.contributor.author Miyingo, Steven
dc.date.accessioned 2022-06-30T08:42:39Z
dc.date.available 2022-06-30T08:42:39Z
dc.date.issued 2014-05
dc.identifier.citation Miyingo, Steven. (2014). Predicting the breaking strength of a rotor spun yarn using ANFIS. Busitema University. Unpublished dissertation. en_US
dc.identifier.uri http://hdl.handle.net/20.500.12283/1843
dc.description Dissertation en_US
dc.description.abstract This project was carried out in partial fulfilment of the requirements for the award of bachelor of science in textile engineering. In this project ANFIS was used to predict the breaking strength of a cotton rotor spun yarn. Rotor speed, twist and draft were used as input parameters for the model and strength was used as the output for: the model. Twenty-eight samples of yarn were produced from twenty-eight experiments carried out at Southern Range Nyanza Limited (SR-NL) in Jinja, Uganda. The data obtained was then used to build an ANFIS model that was tested and validated. The report shows all the surface plots of the model, the graphs showing the prediction performance of ANFIS and linear regression, membership function plots, the data used and the codes that were used in this research project. The report also explains the detail of model development and validation, how the membership function types were chosen, which problem is being solved, the objectives of the project and finding of researchers. who did closely related work. The. report shows all the findings and recommendations of the project. en_US
dc.description.sponsorship Dr. Nibikora Ildephonse, Eng. Rwahiire Samson, Busitema University en_US
dc.language.iso en en_US
dc.publisher Busitema University. en_US
dc.subject ANFIS en_US
dc.subject Breaking strength en_US
dc.subject Cotton rotor spun yarn en_US
dc.subject Yarn Spun yarn en_US
dc.title Predicting the breaking strength of a rotor spun yarn using ANFIS. en_US
dc.type Thesis en_US


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