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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal of Information Systems Engineering and Business Intelligence InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research Language Literacy: Journal of Linguistics, Literature, and Language Teaching IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Mantik TRIDARMA: Pengabdian Kepada Masyarakat (PkM) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer Networks, Architecture and High Performance Computing Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (JASMIEN) IJISTECH Journal of Applied Data Sciences Yayasan Cita Cendikiawan Al Khwarizmi International Journal of Basic and Applied Science Brilliance: Research of Artificial Intelligence Jurnal Minfo Polgan (JMP) sudo Jurnal Teknik Informatika Jurnal Masyarakat Indonesia Prioritas : Jurnal Pengabdian Kepada Masyarakat Data Sciences Indonesia (DSI) International Journal of Multidisciplinary Sciences and Arts Jurnal Manajemen Dan Akuntansi Medan Journal of Computer Science and Research Deli Sains Informatika JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development PERFECT: Journal of Smart Algorithms Jurnal Sistem Informasi Komputer
Muhammad Khoiruddin Harahap
Politeknik Ganesha Medan, Indonesia
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Journal : International Journal of Artificial Intelligence Research

 1 
Analysis of Learning Algorithms for Multilayer Neural Networks Harahap, Muhammad Khoiruddin; Pramono, Eko; Novita, Hilda Yulia; Maharina, Maharina; Sasongko, Dimas; Zonyfar, Candra
International Journal of Artificial Intelligence Research Vol 6, No 1 (2022): June 2022
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (328.455 KB) | DOI: 10.29099/ijair.v6i1.260

Abstract

The modern stage of development of science and technology is characterized by a rapid increase in the complexity of the created technical systems. The management of such systems requires the development of new management methods, since the modification and improvement of traditional management techniques does not always ensure the fulfillment of stringent requirements for management quality indicators. Classical control methods are mainly based on the theory of linear systems, while most real objects are non-linear. The problem of the synthesis of control systems under conditions of uncertainty is currently one of the central problems in the modern theory of automatic control. The complexity of the control object itself, structural, parametric and information uncertainties in the description of the control object, and the complexity of control problems, the multi criteria of optimization problems, the lack of possible analytical solutions, the need to take into account all the properties of disturbances, etc. The solution to this problem requires a search for alternative approaches to the design of control systems, one of which involves the introduction of neural network systems. Neural network control systems are a high-tech direction of control theory and belong to the class of nonlinear dynamic systems. High performance due to parallelization of input information in combination with the ability to train neural networks makes this technology very attractive for creating control devices in automatic systems. Neural networks can be used to build regulating and switching devices, reference, adaptive, nominal and inverse-dynamic models of objects, on the basis of which objects are studied, analysis of the influence of disturbances acting on an object, determination of the optimal control law, search or calculating the optimal program for changing the impact when changing the values of the parameters of the object and the characteristics of the input data. In addition, neural networks can be used to identify objects, predict the state of objects, recognize, cluster, classify, analyze a large amount of data arriving at high speed from a large number of devices and sensors, and the like. The ability to learn according to a given principle of functioning allows creating automated control systems that are optimal in terms of speed, energy consumption, etc. Naturally, in this case, it is possible to implement several principles of functioning and the transition from one to another. They are a universal tool for modeling multidimensional nonlinear objects and finding solutions to ill-posed problems.
Co-Authors . Zulfan AA Sudharmawan, AA Abdul Samad Adidtya Perdana, Adidtya Aditya, Vikra Afriani, Dina Amir Mahmud Husein Amir Mahmud Husein, Amir Mahmud Amir Mahmud Husein, Mawaddah Harahap, Amir Amsar Yunan Amsar, Amsar Anugreni, Fera Ariany, Vince Arie Budiansyah Aritonang, Romulo P. Atabiq, Fauzun Atmaja, Niko Surya Ayesha Muazzam AYU LESTARI Candra, Rudi Arif Clawdia, Jhessica Dian Pratiwi, Aulya Dicky Apdilah Diding Kusnady Dimas Sasongko Dina Afriani Eko Pramono Epi, Yus Erwinsyah Sipahutar Evan Afri Evan Afri Fachrul Rozi Lubis Ferdy Riza Firnanda, Ary Ginting, Rico Imanta Handayani, Saskia Hantono Hantono Harahap, Sahyunan Haris Lubis, Abdul Hariyanti, Irma Hendraputra, Surya Herry Setiawan Herry Setiawan Ilham, Dirja Nur Indra Surya, Indra Indra, Jamaludin Intan Maulina, Intan Jannah, Dina Miftahul Jhessica Clawdia Juanda Hakim Lubis Khairuman Khairuman Man Lubis, Fachrul Rozi Maharina, Maharina Maqfirah Mhd Zulfansyuri Siambaton Miza, Khairul Mohammed Saad Talib Muhammad Hamza Muhammad Rian Almadani Mursidah natasha, Syarifah fadillah Natasya, Syarifah Fadillah Novita, Hilda Yulia Nursila Nursila Nursila, Nursila Nurul Khairina Nurul Khairina Nurul Khairina Pania, Sadri Paryono, Tukino Patel , Hrishitva Permata, Riski Surya Ramadhan, M. Irfan Rina Rina Rizki, Lutfi Trisandi Rizky, Muharratul Mina Rosihana, Riscki Elita S.SE,MM, Yanti Salsa Dilah Cicilia Putri Sandi Pratama Saputra, Devi Satria Sepri Kurniadi Sihabudin Sihabudin, Sihabudin Sridewi, Nurmala Surya Hendraputra Syifa Setiawan, Muhammad Afdhalu Talib, Mohammed Saad Talib, Muhammed Saat Urmila, Tasya Wahyudi Lubis Xu, Chlap Min Zhu, Kong Huang Zonyfar, Candra