Sakarya University Fuzzy Logic - Assignment 2

This repository contains the implementation of the 2nd assignment for the Sakarya University Fuzzy Logic course. The project demonstrates the application of neural networks for solving a problem using Neuroph and JFreeChart libraries, alongside a custom dataset.

Key Features

• Custom Dataset: The salary_data.csv file is prepared using data from the FuzzyLogic repository and loaded into the project via the DataLoader class.
• Topology Experimentation: Different neural network topologies were tested, and the best-performing topology was selected for further experiments.
• Momentum and Non-Momentum Training: The neural network was trained and tested with both momentum and non-momentum approaches to compare their performance.
• Execution: The compiled program can be run by navigating to the dist folder and executing the command java -jar program.jar.
• Libraries Used:
  • Neuroph: For creating and training neural networks.
  • JFreeChart: For visualizing data and results.
• Documentation: A detailed report about the project and its results is available in the doc directory.

How to Use

1. Run the Program:
   • Navigate to the dist folder.
   • Execute the command: java -jar program.jar.
2. Dependencies: All required .jar files are available in the lib folder. Ensure they are included in your classpath if needed.

Project Structure

• DataLoader Class: Handles dataset loading and preprocessing.
• lib: Contains all the necessary jar files for running the program.
• dist: Includes the compiled .jar file for execution.
• doc: Provides a detailed report on the project.

Feel free to explore the code and documentation for further insights!