IJISTECH (International Journal Of Information System & Technology)
Vol 2, No 2 (2019): May

Model Combination of Activation Functions in Neural Network Algorithms (Case: Retail State Sukuk by Group)

Siregar, Muhammad Noor Hasan (Unknown)

Article Info

Publish Date
23 May 2019


This study aims to maximize the activation function used in backpropogation networks in finding the best architectural model. The case study used is the sale of state retail sukuk based on professional groups. The combination of activation functions used for training and testing is tansig-tansig, tansig-purelin and tansig logsig. The architectural model used is the architectural model 6-2-1 and 6-5-1. The evaluation parameters used are epoch, MSE training, MSE testing and accuracy level of truth. Data processing is assisted by using Matlab software. The results showed that the tansig-logsig activation function had more stable results than tansig-tansig and tansig-purelin.

Copyrights © 2019

Journal Info





Computer Science & IT


IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in the computer science and their applications in business, industry and other subjects. The computer science is a branch of engineering ...