This Repository contains the lab Programs for On-Going Soft Computing Lab (CSP 3035) Spring 2025

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The following are the list of programs with their .c code files.

Program	Code File
Q1. Design and simulate the behaviour of AND Gate using Perceptron Network in C for bipolar inputs and targets.	Single Layer Preceptron For Bipolar AND Gate
Q2. Design and simulate the behaviour of OR Gate using Adaline Network in C for bipolar inputs and targets.	Adaline Network For OR Gate For Bipolar Inputs and Targets
Q3. Design and simulate the behaviour XOR Gate using Madaline network in C language for bipolar inputs and targets.	Madaline Network For XOR Gate For Bipolar Inputs and Targets
Q4. Design and Simulate the Behaviour of XOR Gate Using Back-Propagation Network in c for Bipolar Inputs and Targets.	Back-Propagation Network For XOR Gate For Bipolar Inputs and Targets
Q5. Write a program in C to Implement the various primitive operations of classical sets.	Different primitive operations of classical sets.
Q6. Write a program in C to implement and verify various Laws associated with Classical sets.	Different Laws Associated with classical sets.
Q7. Write a program in C to perform various primitive operations on Fuzzy Sets with Dynamic Components.	Different Primitive operations on Fuzzy Sets.
Q8. Write a program in C to verify various Laws associated with Fuzzy Sets.	Laws Associated with Fuzzy Sets.
Q9. Write a program in C to perform Cartesian product over two given Fuzzy Sets.	Cartesian Product Of Two Fuzzy Sets.
Q10. Write a program in C to perform Max-Min Composition of Two Matrices obtained from Cartesian Product.	Max-Min Composition Of Cartesian Product Matrices.
Q11. Write a program in C to perform Max-Product Composition of Two Matrices obtained from Cartesian Product.	Max Product Composition Of Cartesian Product Matrices
Additional Combined Program: This Program includes combined program for Cartesian Product, Max-Min Composition and Max-Min Composition of two fuzzy sets.	Combined Cartesian Product Max Min Composition And Max Product Composition Of Fuzzy Sets
Q12. Write a program in C to maximize F(X) = X2 using Genetic Algorithm where 0 < x < 31	Genetic Algorithm Program

Principles of Soft Computing Book

This repository also includes the "Principles of Soft Computing" book, which serves as a reference for understanding the theoretical concepts behind the implemented programs. The book covers topics such as:

• Fuzzy Logic and Fuzzy Systems
• Neural Networks
• Genetic Algorithms
• Hybrid Systems
• Applications of Soft Computing

The book is a valuable resource for students and professionals working on Soft Computing concepts and their practical implementations.

Environment Setup (Setting up GCC)

Windows (x86_64)

1. Download the latest MinGW release from MinGW Builds.
2. Choose the x86_64-14.2.0-release-posix-seh-ucrt-rt_v12-rev2.7z release for modern 64-bit systems (note: the version might change in the future, but x86_64_posix-seh-ucrt is the main identifier).
3. Extract the contents of the downloaded file to a directory of your choice.
4. Add the bin directory of the extracted MinGW to your system's PATH environment variable:
   • Open the Start Menu, search for "Environment Variables", and select "Edit the system environment variables".
   • In the System Properties window, click on the "Environment Variables" button.
   • In the Environment Variables window, find the Path variable in the "System variables" section and click "Edit".
   • Click "New" and add the path to the bin directory of the extracted MinGW (e.g., C:\path\to\mingw\bin).
   • Click "OK" to close all windows.
5. Verify the installation by opening a command prompt and running gcc --version.

Windows (ARM AArch64)

1. Download the latest ARM GCC toolchain from Arm Developer.
2. Choose the appropriate release for your system.
3. Extract the contents of the downloaded file to a directory of your choice.
4. Add the bin directory of the extracted toolchain to your system's PATH environment variable:
   • Open the Start Menu, search for "Environment Variables", and select "Edit the system environment variables".
   • In the System Properties window, click on the "Environment Variables" button.
   • In the Environment Variables window, find the Path variable in the "System variables" section and click "Edit".
   • Click "New" and add the path to the bin directory of the extracted toolchain (e.g., C:\path\to\arm\bin).
   • Click "OK" to close all windows.
5. Verify the installation by opening a command prompt and running arm-none-eabi-gcc --version.

You can also use WSL2 for this:

1. Follow the instructions to set up WSL2 here.
2. Install a Linux distribution from the Microsoft Store (e.g., Ubuntu).
3. Open the WSL2 terminal and install GCC using the package manager:
   • For Debian-based distributions (e.g., Ubuntu):

     sudo apt update
     sudo apt install build-essential

4. Verify the installation by running gcc --version in the WSL2 terminal.

Linux

1. Open a terminal.
2. Install GCC using the package manager:
   • For Debian-based distributions (e.g., Ubuntu):

     sudo apt update
     sudo apt install build-essential

   • For Red Hat-based distributions (e.g., Fedora):

     sudo dnf install gcc

3. Verify the installation by running gcc --version in the terminal.

macOS

1. Open a terminal.
2. Install Xcode Command Line Tools by running:

   xcode-select --install

3. Verify the installation by running gcc --version in the terminal.

Open to Contributions

Contributions are welcomed to this project! If you would like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Make your changes and commit them with clear and concise messages.
4. Push your changes to your forked repository.
5. Create a pull request to the main repository.

License

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