#TITLE_ALTERNATIVE#

• Main Author: JAYA AZIZ (NIM : 102 08 084); Pembimbing : Dr. Rizal Kuriniadi , IWAN
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/16137
• Institution: Institut Teknologi Bandung

Neural Network (NN) is a network of small group processing unit is modeled based on human neural tissue. NN is an adaptive system that can change its structure to solve problems based on external or internal information that flows through the network. Simply NN is a statistical modeling tool non-linear. NN can be used to model complex relationships between inputs and outputs for finding patterns in the data. Basically, the learning system is the process of adding knowledge on the nature of the NN continuity so that when the use of such knowledge will be exploited to the fullest in recognizing an object. In the study researchers will try to save a neural network training in MatLab to find the value of the cross section for the different isotopes. The present study uses data obtained from samples that have been evaluated nuclear data known as ENDF (evaluated Nucler Data Files) for neutron cross-section. The data is then processed using Matlab computing to obtain the data for the cross section of the computational results are then compared with the data cross-sections from ENDF nuclear data.