CLASSIFICATION OF ABO HUMAN BLOOD GROUP USING RADIAL BASIS FUNCTION & BACKPROPAGASION

HAKA, MUHAMMAD DIAN ARIFIN and Samsuryadi, Samsuryadi and Miraswan, Kanda Januar (2019) CLASSIFICATION OF ABO HUMAN BLOOD GROUP USING RADIAL BASIS FUNCTION & BACKPROPAGASION. Undergraduate thesis, Sriwijaya University.

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Abstract

This classification of human blood group is widely used in hospital laboratory for research and treatment. The classification has not been implemented maximally and has slow progress. This happens because the analyst has not been standardized and the process was slow. The analysts were overhelmed in carrying out their duties. This study used radial basis function & backpropagation algorithm. Before the introduction was carried out, the feature extraction process carried out first using a projction histogram. Furthermore, the results was inserted into BackPropagation neural network for the training procces until the minimum of error. Based on error (galat) should being classification of blood groups with the accuracy reaches 96.12%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Backpropagation neural network, Radial Basis Function neural network, Classification of human blood, feature extraction.
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75 Electronic computers. Computer science
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 830 not found.
Date Deposited:	16 Aug 2019 22:20
Last Modified:	16 Aug 2019 22:20
URI:	http://repository.unsri.ac.id/id/eprint/2147

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