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Cross Section is a very important data in Nuclear Physics. Nowadays there is quite lot of cross section data that from experiment. Like the one we can see from the Evaluated Nuclear Data File (ENDF). But there is also still quite a lot of void of cross section data from some range of energy. Besides...

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Main Author: SENTOSA (NIM 10202063), RENALDO
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/11233
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:11233
spelling id-itb.:112332017-09-27T11:45:11Z#TITLE_ALTERNATIVE# SENTOSA (NIM 10202063), RENALDO Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/11233 Cross Section is a very important data in Nuclear Physics. Nowadays there is quite lot of cross section data that from experiment. Like the one we can see from the Evaluated Nuclear Data File (ENDF). But there is also still quite a lot of void of cross section data from some range of energy. Besides from experiment the cross sectional data can also be computed by aproximation.<p>Artificial Neural Network (ANN) is a mathematical model that is widely used for various problems such as pattern recognition, signal processing, and prediction. By using the ANN toolbox that is available in MATLAB, a program can be made to compute the cross section data from a spesific energy. In this final project backpropagation is used because of it's high ability in prediction. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Cross Section is a very important data in Nuclear Physics. Nowadays there is quite lot of cross section data that from experiment. Like the one we can see from the Evaluated Nuclear Data File (ENDF). But there is also still quite a lot of void of cross section data from some range of energy. Besides from experiment the cross sectional data can also be computed by aproximation.<p>Artificial Neural Network (ANN) is a mathematical model that is widely used for various problems such as pattern recognition, signal processing, and prediction. By using the ANN toolbox that is available in MATLAB, a program can be made to compute the cross section data from a spesific energy. In this final project backpropagation is used because of it's high ability in prediction.
format Final Project
author SENTOSA (NIM 10202063), RENALDO
spellingShingle SENTOSA (NIM 10202063), RENALDO
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author_facet SENTOSA (NIM 10202063), RENALDO
author_sort SENTOSA (NIM 10202063), RENALDO
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
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url https://digilib.itb.ac.id/gdl/view/11233
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