MJAHMADEE/Soft_Computing

Fuzzy Logic, Genetic Algorithm, Neural Networks

Soft Computing 🧠

Welcome to the Soft Computing repository! This project is all about exploring and implementing soft computing techniques.

📂 Repository Structure

This repository is organized into several folders, each dedicated to a specific topic or project within soft computing. Below is an overview of the primary directories:

• Fuzzy Logic

  • Contains resources and implementations related to fuzzy logic systems and algorithms.

• Genetic Algorithms

  • Houses projects and experiments using genetic algorithms for optimization and search problems.

• Neural Networks

  • A collection of neural network models and training experiments, including deep learning approaches.

• Support Vector Machines

  • Dedicated to the study and implementation of Support Vector Machine (SVM) algorithms.

🌟 Features

• Comprehensive examples of soft computing techniques.
• Well-documented code and explanations.
• Real-world applications and problem-solving.

📚 Resources

To learn more about soft computing, check out the following resources:

• Soft Computing Journal
• IEEE Computational Intelligence Society

🤝 Contributing

Contributions to the Soft Computing repository are welcome! Please read the CONTRIBUTING.md for guidelines on how to contribute.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.