Pemodelan Sistem dengan Metode Neural Network Back Propagation Modeling System Using Neural Network Backpropagation

Dwi Sudarno Putra (Universitas Negeri Padang)
Toto Sugiarto - (Universitas Negeri Padang)
Meri Azmi - (Politeknik Negeri Padang)

Jurnal Ilmiah Poli Rekayasa
Vol 11, No 2 (2016)

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