The Formula Study in Determining the Best Number of Neurons in Neural
Network Backpropagation Architecture with Three Hidden Layers

Dublin Core

Title

The Formula Study in Determining the Best Number of Neurons in Neural
Network Backpropagation Architecture with Three Hidden Layers

Subject

Neural Network, Backpropagation, 3-Layer Hidden, Number of Neurons

Description

The researchers conducted data simulation experiments, but they did so unstructured in determining the number of neurons in
the hidden layer in the Artificial Neural Network Back-Propagation architecture. The researchers also used a general
architecture consisting of one hidden layer. Researchers are still producing minimal research that discusses how to determine
the number of neurons when using hidden layers. This article examines the results of experiments by conducting training and
testing data using seven recommended formulas including the Hecht-Nelson, Marchandani-Cao, Lawrence & Fredrickson,
Berry-Linoff, Boger-Guterman, JingTao-Chew, and Lawrence & Fredrickson modifications. We use rainfall data and
temperature data with a 10-day type for the last 10 years (2012-2021) sourced from Lombok International Airport Station,
Indonesia. The training and testing data used showed the results that in determining the number of neurons on the hidden-1
screen, it was more appropriate to use the Hecht-Nelson formula and the Lawrence & Fredricson formula which is more
suitable for use in the 2nd & 3rd hidden layer. The resulting research was able to provide an accuracy rate of up to 97.79%
(temperature data) and 99.94% (rainfall data) with an architecture of 36-73-37-19-1

Creator

Syaharuddin1
, Fatmawati2
, Herry Suprajitno3

Publisher

Department of Mathematics, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia

Date

30-06-2022

Contributor

Syaharuddin1
, Fatmawati2
, Herry Suprajitno3

Format

PDF

Language

Indonesa

Type

Text

Files

Collection

Citation

Syaharuddin1 , Fatmawati2 , Herry Suprajitno3, “The Formula Study in Determining the Best Number of Neurons in Neural
Network Backpropagation Architecture with Three Hidden Layers,” Repository Horizon University Indonesia, accessed June 4, 2025, https://repository.horizon.ac.id/items/show/9180.