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Mexican Hat, a neural network based on competition with fixed weight.

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Mexican Hat

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.

Team members:

Getting Started

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

Prerequisites

What things you need to install the software

Running the tests

  • 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

input:

vector

  • 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

radius

  • there must be 2 constant value for radius
  • the input must be comma separated
1, 2

constant

  • 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

T_max

  • 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

input

Output

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)

List vectors & graph of the output vectors

output

The formula for manual calculations

output

The value for manual calculations

output

List new vectors (from activation function)

output

Reference

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Mexican Hat, a neural network based on competition with fixed weight.

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