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PERBANDINGAN ALGORITMA LEVENBERG-MARQUARDT DAN ALGORITMA BACKPROPAGATION DALAM IDENTIFIKASI JENIS KELAMIN BERDASARKAN SIDIK JARI

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Penilaian

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Artificial Neural Network have been widely applied in various fields including prediction, medical diagnosis, signal processing and classification. The most widely used Artificial Neural Network for classification is the Backpropagation algorithm, because the Backpropagation algorithm can learn data patterns very well and produce fairly accurate output but requires a very long time. This study compares and tests the accuracy and speed of the Backpropagation algorithm and the Levenberg-Marquardt algorithm in identifying gender based on fingerprint. The results showed that the Levenberg-Marquardt algorithm has a relatively high level of accuracy with an average accuracy of 93.67%, while the Backpropagation algorithm has an average accuracy of 60%, but a relatively lower speed with an average speed of 0.258 seconds, while the Backpropagation algorithm has an average speed of 0.1978 seconds.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000062	T39401	T394012020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T394012020

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2020

Collation

xvi, VI-2 hlm.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

005.74

Content Type

Text

Media Type

other

Carrier Type

-

Edition

-

Subject(s)

Database-manajemen
Teknik Informatika

Specific Detail Info

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Statement of Responsibility

NO

Other version/related

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