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All Journal Jurnal Informatika dan Teknik Elektro Terapan e-Jurnal Arus Elektro Indonesia RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro Elsains : Jurnal Elektro Jurnal Teknik Elektro dan Komputasi (ELKOM) Best : Journal of Applied Electrical, Science and Technology BEES: Bulletin of Electrical and Electronics Engineering Emitor: Jurnal Teknik Elektro
Prenata, Giovanni Dimas
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Mechanical Engineering Physics

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Evaluation of ANN Training Methods: A Comparative Study of Back Propagation, Genetic Algorithm, and Particle Swarm Optimization for Predicting Electrical Energy Consumption Prenata, Giovanni Dimas
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.12719

Abstract

This study compares the performance of ANN with three training methods: Backpropagation (BP), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) in a simple classification case. The results show that ANN GA has the smallest average error (0.0308), followed by ANN BP (0.0569), while ANN PSO is much larger (0.7559). Thus, ANN GA proved to be the most stable and accurate, ANN BP still performed quite well, while ANN PSO had the weakest performance.
Co-Authors Aris Heri Andriawan, Aris Heri Baihaqi, Ahmad Basyarach, Niken Adriaty Fidhini, Fachrul Fauzan Noufanda, Yudo Farrel Prayoga, Ageng Puji Slamet, Puji Rafli, Syah Achmad Amar Reza Sarwo Widagdo ridhoi, achmad Ridhoi, Ahmad Setiawan, Dani Agus Setiyawan, Ryan Agus Subekti Yuliananda, Subekti Subyakto, Doris Swarga, Lutfi Agung Wardah, Izzah Aula