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All Journal International Journal of Evaluation and Research in Education (IJERE) TELKOMNIKA (Telecommunication Computing Electronics and Control) 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 Amalia, Alim Annisa Nirmala Annisa Ramadhani Ardianto Pranata Asmar Yulastri Asyahri Hadi Nasyuha Asyhari Hadi Nasyuha Azlan Azlan Azli Murti Lubis Badrul Anwar Badrul Anwar Boy, Ahmad Darjat Saripurna Devri Suherdi, Devri Elfitriani Elfitriani Elfitriani Faisal Taufik Firahmi Rizky Fuadil Aliya, Khairul Ganefri . Ganefri Ganefri Garnis Jovanty Hendra Jaya Hendriktio Freizello Hendryan Winata Hutagalung, Juniar 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 Kusnasari, Sri Luthfi Halim luthfi zulfahmi Marsono Masyuni Hutasuhut Maya, Widiarti Milfa Yetri Mufthi Adi Syahdian Muhammad Aufa Azham Muhammad Dahria Muhammad Syahril Muhammad Zunaidi Muit Sunjaya Mukhlis Ramadhan Nurcahyo Budi Nugroho Nurfadhilah Syanti nurmala sari Nurul Fadillah Oktaviana Br Sinuhaji Puji Sari Ramadhan Purwadi Purwadi Purwadi Purwadi Purwadi Ridwan Ridwan Rina Mahyuni Riswana, Melvi Ritonga, Muhammad Al-fatih Rizka Annisa Rudi Gunawan Rudiansyah Rudiansyah, Rudiansyah Saidi Ramadan Siregar Saiful Nurarif Siska Wulandari, Siska Siti Nurmila Rahmatilah Sobirin Sobirin Sobirin Sobirin Sri Kusnasari sri murnianti Suharsil _ Syahputri, Astri Syamsul Arifin Tugiono, Tugiono Widiarti R Maya Winata, Hendryan Winda Sari Yohanni Syahra Zaimah Panjaitan Zulkifli Lubis