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soft-computing-techniques

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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.

  • UpdatedAug 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

  • UpdatedAug 29, 2023
  • C++

Lab experiments on Neural Networks for Undergraduate ECE Students, NIT Rourkela

  • UpdatedAug 26, 2020
  • MATLAB

I have used Genetic Algorithms for solving Equations. This is done using python.

  • UpdatedJul 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.

  • UpdatedApr 7, 2022
  • MATLAB

This repository contains the python implementations of a few soft computing algorithms.

  • UpdatedFeb 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.

  • UpdatedDec 24, 2025
  • Java

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