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All Journal International Journal of Evaluation and Research in Education (IJERE) Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics INVOTEC Bulletin of Electrical Engineering and Informatics International Journal of Artificial Intelligence Research JURNAL MEDIA INFORMATIKA BUDIDARMA Journal of Computer System and Informatics (JoSYC) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Pengabdian Masyarakat IPTEK Jurnal Sistem Informasi Triguna Dharma (JURSI TGD)
Dicky Nofriansyah
STMIK Triguna Dharma
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

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Python Application: Visual Approach of Hopfield Discrete Method for Hiragana Images Recognition Dicky Nofriansyah; Hendriktio Freizello
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.996 KB) | DOI: 10.11591/eei.v7i4.691

Abstract

Python is a dynamic object-oriented programming language. Python provides strong support for integration with other programming languages and other tools. Python programming is rarely used in the field of artificial intelligence, especially artificial neural networks. This research focuses on running Python programming to recognize hiragana letters. In learning the character of Hiragana, one can experience difficulties because of the many combinations of vowels that form new letters by different means of reading and meaning. Discrete Hopfield network is a fully connected, that every unit is attached to every other unit. This network has asymmetrical weights. At Hopfield Network, each unit has no relationship with itself. Therefore it is expected that a computer system that can help recognize the Hiragana Images. With this pattern recognition Application of Hiragana Images, it is expected the system can be developed further to recognize the Hiragana Images quickly and precisely.
Co-Authors Abdullah Muhazir Ade Putra Armadhani Afzalur Syaref Agung Kurniawan Ahmad Fitri Boy Ahmad Raynaldi Ardianto Pranata Asmar Yulastri Asyahri Hadi Nasyuha Asyhari Hadi Nasyuha Azlan Azlan Badrul Anwar Badrul Anwar Darjat Saripurna Elfitriani Elfitriani Faisal Taufik Firahmi Rizky Ganefri . Ganefri Ganefri Garnis Jovanty Hendra Jaya Hendriktio Freizello Hendryan Winata Hutagalung, Juniar Ida Chairani Imeldarosariwati Laia Indah Dwi Pradilah Iskandar Iskandar Iskandar Zulkarnain Ismawardi Santoso Ita Mariami Jaka Prayudha Jufri Halim kamil erwansyah Khairi Ibnutama Kharisma Tesya E luthfi zulfahmi Masyuni Hutasuhut Milfa Yetri Mufthi Adi Syahdian Muhammad Aufa Azham Muhammad Dahria Muhammad Syahril Muhammad Zunaidi Mukhlis Ramadhan Nurcahyo Budi Nugroho Nurfadhilah Syanti nurmala sari Nurul Fadillah Puji Sari Ramadhan Purwadi Purwadi Ridwan Ridwan Rina Mahyuni Rizka Annisa Rudi Gunawan Saidi Ramadan Siregar Saiful Nurarif Siti Nurmila Rahmatilah Sri Kusnasari sri murnianti Suharsil _ Syahputri, Astri Widiarti R Maya Winda Sari Yohanni Syahra Zulkifli Lubis