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Meri Azmi -
Politeknik Negeri Padang
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Pemodelan Sistem dengan Metode Neural Network Back Propagation Modeling System Using Neural Network Backpropagation Dwi Sudarno Putra; Toto Sugiarto -; Meri Azmi -
Jurnal Ilmiah Poli Rekayasa Vol 11, No 2 (2016)
Publisher : Pusat Penelitian dan pengabdian kepada Masyarakat (P3M) Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.824 KB) | DOI: 10.30630/jipr.11.2.24

Abstract

A system can be modeled using mathematical formulation analysis method. Analysis of the system starts from the value of inputs, processes, noise, and output processes. then sought mathematical approach. This method is very complex, especially for some of the processes that have a higher order. In this article the author tries to discuss a method to perform modeling on a system by using Back Propagation Neural Network method.In the neural network method we require the initial data for network training process. Network training process is intended to gain weight. The weight is then identified with a model system. This paper has demonstrated that the modeling system can be done by the method of back propagation neural network 
Co-Authors Dwi Sudarno Putra Toto Sugiarto