soft-computing-techniques
Here are 7 public repositories matching this topic...
It's a Java-based application that provides functions and tools for designing and simulating fuzzy logic systems. It offers a user-friendly interface for creating and testing fuzzy logic systems by allowing users to define and configure input variables, output variables, membership functions, rules, and defuzzification methods.
- Updated
Aug 29, 2023 - Java
This program implements a genetic algorithm for curve fitting using a polynomial equation. The goal is to find the best coefficients for the polynomial equation that minimize the distance between the curve and a given set of data points. The genetic algorithm is used to search for the optimal solution by evolving a population of candidate solutions
- Updated
Aug 29, 2023 - C++
Lab experiments on Neural Networks for Undergraduate ECE Students, NIT Rourkela
- Updated
Aug 26, 2020 - MATLAB
I have used Genetic Algorithms for solving Equations. This is done using python.
- Updated
Jul 13, 2019 - HTML
A simplified and effective version of IPO (called SIPO) with the aim of simplifying the main IPO equations, creating a powerful trade-off between the concepts of exploitation and exploration, and modifying the complexity of their structural parameters.
- Updated
Apr 7, 2022 - MATLAB
This repository contains the python implementations of a few soft computing algorithms.
- Updated
Feb 3, 2022 - Python
Java library that implements several soft computing techniques and provides some case studies to show how the library can be used for real-world applications.
- Updated
Dec 24, 2025 - Java
Improve this page
Add a description, image, and links to thesoft-computing-techniques topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thesoft-computing-techniques topic, visit your repo's landing page and select "manage topics."