Skripsi

PENGENALAN TULISAN HIRAGANA MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK

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Penilaian

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In the last few decades the Convolutional Neural Network has had outstanding results in various fields related to pattern recognition, one of which is the recognition of Hiragana's writing. For foreigners, hiragana characters are difficult to understand because they have similar characteristics. This study aims to develop software that can recognize hiragana writing using the Convolutioanal Neural Network method. The most optimal architecture for recognizing hiragana writing has a filter size of 3x3 and a learning rate of 0.005. From these results it can be concluded that the Convolutional Neural Network can be used to recognize Hiragana's writing.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002620	T55865	T558652021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T558652021

Publisher

Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2021

Collation

xx, 82 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Pemrosesan Data, Teknik Informatika
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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