Pengembangan Algoritma Pembelajaran Untuk Jaringan Syaraf Tiruan Diagonal Recurrent Dalam Sistem Kendali Derau Akustik Secara Aktif

Bomo Wibowo Sanjaya • Redi Ratiandi Yacoub
Journal article Jurnal Teknik Elektro Universitas Kristen Petra • Maret 2007 Indonesia

Abstrak

Active Noise Control (ANC) system emphasizes at USAge of adaptation algorithm and adaptive control structure. In this research is presented experimental result of active noise control system at free space using Diagonal Recurrent Artificial Neural Network control structure. The objective of this research is to develop an Extended Kalman Filter (EKF) algorithm for Diagonal Recurrent Artificial Neural Network control structure, named as Extended Kalman Filter Diagonal Recurrent (EKFDR) algorithm. Experimental result shows that amount of neuron in artificial neural network can be reduced by using diagonal recurrent artificial neural network, without lessening control system performance. Nonlinearity of secondary path in active noise control system can complicate control process. Experimental result shows that diagonal recurrent artificial neural network with EKFDR algorithm produced a better performance than linear controller in compensating of secondary path nonlinearity.

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Jurnal

Jurnal Teknik Elektro Universitas Kristen Petra

Jurnal Teknik Elektro Universitas Kristen Petra is published biannually, in May and September, by... tampilkan semua