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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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| 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 |
| Summary: | 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. |
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