Tugas Akhir

Pemodelan reaktifitas doppler dari high temperature reactor menggunakan jaringan saraf tiruan

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In realization of the Experimental Power Reactor which is HTGR type, it is necessary to prepare operating human resource for HTR. Kartini Reactor which is TRIGA-II type, will be part of HTR simulator by planting Doppler reactivity characteristic on it , where the simulator will be used as a training facility for licensed Experimental Power Reactor operator candidate. Doppler reactivity model based on a series of artificial neural networks (ANN) used as a process element of the HTR simulator on the Kartini Reactor, later called a hybrid simulator. Three pieces of ANN with combination of NARX and MLP architecture were trained each, before being assembled as Doppler reactivity model. The ANN model trained and validated by using PCTRAN datasets, then tested on Simulink. The result show that Doppler reactivity can be modelled by using ANN with low performance if the third input of the system is taken from ANN 3. The average MSE obtained was 0,035272.

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Ketersediaan

S17-9057

14/TA/K/17 621.039.564.3 GAR p

Perpustakaan Poltek Nuklir

Tersedia

Informasi Detail

Judul Seri

-

No. Panggil

621.039.564.3 GAR p

Penerbit

Yogyakarta : STTN-BATAN., 2017

Deskripsi Fisik

xvi, 108 halaman : ilustrasi ; 30 cm

Bahasa

Indonesia

ISBN/ISSN

-

Klasifikasi

621.039.564.3

Tipe Isi

teks

Tipe Media

tanpa perantara

Tipe Pembawa

volume

Edisi

-

Subjek

-

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Garin Surya Anggara

Versi lain/terkait

Lampiran Berkas

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