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Eko Pramono
SD Negeri Soka Wonosari
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Journal : International Journal of Artificial Intelligence Research

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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 *, Pramono , Agustiansyah Agus Karyanto Agustiyansyah, Agustiyansyah Aji, Kresno Kresno Alimuddin Alimuddin Yasin Alva Hendi Muhammad Andi Sunyoto Andreyestha Andreyestha Andri4, Rum Anjani, Dia Ardian Ardian Ari Wibisono, Bagas Arief Setyanto Atmadja, Bambang Soedijono Wiria Ayu, Sukma Azis, Azizah Bambang Soedijono W A, Bambang Soedijono Bayu Setiaji Benyamin Timotiwu, Paul Bernadhed, Bernadhed Billyam Budi Witjaksana, Budi Budiono, Arifin Nur Burmansah Burmansah Damo, Saca Dimas Sasongko Ditama, Septian DWI HAPSORO Ema Utami Ermawati Ermawati Fauzi, Moch Farid Franciscus Xaverius Susilo, Franciscus Xaverius Gautama, Sidartha Adi Ginting, Yohannes Cahya Gusnadi, Gunawan Hadi, Muhammad Syamsoel Hadjar Aswad, Fatqul Hidayat Pujisiswanto Jaka Purnama Jeki Kuswanto JULIANTI, MEGA Karpen Katarina Manik, Tumiar Komang Sutawan Kukuh Setiawan Kurnianti, Vidia Dwi Kusrini, Kusrini Kusuma, Yosep Riando Lia Lia Lidya Purnamasari, Lidya Loekas Soesanto M. Kamal Maharina, Maharina Merlita, Bella Muhammad Kamal Muhammad Khoiruddin Harahap Muktafin, Elik Hari Nababan, Erick Mikhail Vialli Nisa, Citra Khoirrun Novita, Hilda Yulia Nurastuti6, Wiji Oktavia, Rahma Paul Benyamin Timotiwu Poniman Poniman Prayoghi, M. Lukman Priatama, Rizki Priono, Priono Putra, Andriyan Dwi Rafika, Eni Rapiadi, Rapiadi Richky Faizal Amir Saddhadika, Adhi Khumara Safitri, Pipit Kurnia Sakti, Alfiana Revo Salsabila, Erika Fadia Sanjaya, Purba Selawati, Indria Sembodo, Dad Resiworo Jekti Setiawan, Wawan A Setyo Dwi Utomo SISWOYO Slameto, Andika Agus Sugata, Ary Suka Edah Angkat Sumiyanto, Ahmad Sumiyanto5, Ahmad Susanto Susanto Sutiyono sutiyono sutiyono Tejo Ismoyo, Tejo Tribiakto, Herlandro Tumiar Katarina Manik Tundjung Tripeni Handayani, Tundjung Tripeni Utomo, Dimas Prasetyo Wajar Bimantoro, Wajar Widjiyati, Nur Wiwi Widayani, Wiwi Yayuk Nurmiaty Yossy Ariyanto YUSNITA YUSNITA Zahrowani, Rizal Zonyfar, Candra