Neural network based on competition with fixed weight. This repository is archived from the 6th-semester final project on the artificial neural network course, Sriwijaya University.
- Dian Palupi Rini (Lecturer) - Scholar
- Riska Wati Savitri - LinkedIn, Instagram
- Maharani Putri Rama - Instagram
- Atan Wicaksana Ramadhanti - LinkedIn, Instagram
- Muhammad Irfan Triananto Putra - LinkedIn
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. The system is made with CodeIgniter
What things you need to install the software
- Local server - XAMPP, etc.
- Browser - Google Chrome, Firefox, etc.
- open XAMPP, run Apache.
- open url in the browser "localhost/{folder name}" (or 127.0.0.1), use one of the following:
localhost/hat
localhost:8080/hat // if manually used port 8080
127.0.0.1/hat
input:
- the vector must be palindrome (same wether it's read from backward or forward)
- the input must be comma separated
0, 0.5, 0.8, 1, 0.8, 0.5, 0
- there must be 2 constant value for radius
- the input must be comma separated
1, 2
- there must be 2 constant value for constant parameter
- the first constant must be positive (number > 0)
- the second constant must be negative (number < 0)
- the input must be comma separated
0.6, -0.4
- the input must start from zero (this feature still not updated yet!)
- the number in the input is the number iteration in mexican hat neural network
- the input must be comma separated
0, 1, 2, 3, 4
the systems will give the following outputs:
- List vectors
- Graph of the output vectors
- The formula for manual calculations
- The value for manual calculations
- List new vectors (from activation function)
- Jaringan Kompetisi, Dian Palupi Rini, 2019




