Article Per Year (5 Year)
p-Index From 2019 - 2024
2.266
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering JTEV (Jurnal Teknik Elektro dan Vokasional Elkom: Jurnal Elektronika dan Komputer Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik PROSIDING CSGTEIS 2013 Journal of Telematics and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics TRANSISTOR Elektro dan Informatika Angkasa: Jurnal Ilmiah Bidang Teknologi JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Indonesian Journal of Community Services Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Abdi: Media Pengabdian Kepada Masyarakat JTEIN: Jurnal Teknik Elektro Indonesia Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat JAST International Journal of Advanced Health Science and Technology Jurnal Ilmiah Teknik Elektro Prosiding Seminar Riset Mahasiswa
Eka Nuryanto Budi Susila
Universitas Islam Sultan Agung
Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Nursing Public Health Social Sciences Other

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : International Journal of Electrical and Computer Engineering

 1 
Neural network training for serial multisensor of autonomous vehicle system Eka Nuryanto Budisusila; Sri Arttini Dwi Prasetyowati; Bhakti Yudho Suprapto; Zainuddin Nawawi
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp5415-5426

Abstract

This study aims to find the best artificial neural network weight values to be applied to the autonomous vehicle system with ultrasonic multisensor. The implementation of neural network in the system required long time process due to its training process. Therefore, this research is using offline training before implementing to online training by embedding the best network weight values to obtain the outputs faster according to desired targets. Simulink were used to train the system offline. Eight ultrasonic sensors are used on all sides of the vehicle and arranged in a serial multisensory configuration as inputs of neural network. With eight inputs, one sixteen-depth hidden layer, and five outputs, it was trained using the back-propagation algorithm of artificial neural network. By 100000 iterations, the output values and the target values are almost the same, indicating its convergency with minimum of errors. The result of this training is the best weights of the networks. These weight values can be implemented as fixed-weight in online training.
Co-Authors Achmad Rizal Adityakta Nugraha Agung Suryowibowo Agus Adhi Nugroho Amir Cahyadi Andi Riansyah Arief Marwanto Arifin, Bustanul Ary Sulistyo Utomo Bhakti Yudho Suprapto Bustanul Arifin Bustanul Arifin Danang Erwanto Dedi Nugroho Dedy Kurniadi Deki Renjaka Ardiyanto Erwanto, Danang Hafiz Dwi Febi Eriyanto Imam Much Ibnu Subroto Indra Ava Dianta Jenny Putri Hapsari Jenny Putri Hapsari Mochtar Yahya Mohamad Sofie Muhamad Haddin Muhammad Khosyi in Muhammad Khosyi'in Muhammad Khosyi'in Muhammad Khosyi’in Munaf Ismail Nikmatul Azizah Randy Ilhamzah Ris Ardianto Sri Arttini Dwi Prasetyawati Sugeng Santoso Sugeng Santoso Suryani Alifah Vugar Abdullayev Yudistira Marsya Puvindra Zainuddin Nawawi