soft-computing
There are 2 repositories under soft-computing topic.
- Language:C++ 262
- Language:Python 102
- PyIT2FLSLanguage:HTML 64
fuzzylite / pyfuzzylite
pyfuzzylite: a fuzzy logic control library in Python
Language:Python 59jfuzzylite: a fuzzy logic control library in Java
Language:Java 41raviyadav14697 / Medical-diagnosis-using-fuzzy-logic
A soft computing method based web project which helps in predicting the disease based on the symptoms of the patient. Also informs the patients about nearby doctors availability and precautions to be taken. The heart of the project is Fuzzy Logic , a soft computing technique which makes use of knowledge base made by the experts(doctors in this case) to predict the disease severity.
Language:PHP 31chasebk / code_OTWO_ELM
(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization
opposition-based-learningtug-of-war-optimizationmeta-heuristicsextreme-learning-machinetime-series-forecastingnature-inspired-algorithmsdistributed-systemswarm-optimization-algorithmevolution-algorithmsoft-computingmachine-learningneural-networkgenetic-algorithmparticle-swarm-optimizationwhale-optimizationinternet-traffic-dataLanguage:Python 16Amey-Thakur / ARTIFICIAL-INTELLIGENCE-AND-SOFT-COMPUTING-AND-ARTIFICIAL-INTELLIGENCE-AND-SOFT-COMPUTING-LAB
CSC703: Artificial Intelligence and Soft Computing [AISC] & CSL703: Artificial Intelligence and Soft Computing Lab [AISC Lab] <Semester VII>
Language:Python 13maitreyeepaliwal / Disease-Prediction-using-Fuzzy-Logic
A soft computing method based web project which helps in predicting the disease based on the symptoms of the patient. Also informs the patients about nearby doctors availability and precautions to be taken. The heart of the project is Fuzzy Logic , a soft computing technique which makes use of knowledge base made by the experts(doctors in this case) to predict the disease severity.
Language:PHP 10- Language:Python 8
DanijelCBS / MusicSheetsRecognition
Project for the subject Soft computing
Language:Python 7- Language:Python 5
KhaledAshrafH / Fuzzy-Logic-Toolbox
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.
Language:Java 5AmiteshDTU / SSOMaj-SMOTE-SSOMin
This is a hybrid intelligent sampling technique to tackle class-imbalance in real world datasets. To know more about it please refer the link: https://www.sciencedirect.com/science/article/pii/S1568494619300924. Cite our paper, if you are using it in your research work. The citation of our paper is: Susan, Seba, and Amitesh Kumar. "SSOMaj-SMOTE-SSOMin: Three-step intelligent pruning of majority and minority samples for learning from imbalanced datasets." Applied Soft Computing 78 (2019): 141-149.
Language:Java 4This repository contains a C++ program that solves the Knapsack Problem using a Genetic Algorithm. The Knapsack Problem is a classic optimization problem where we aim to maximize the total value of items to be packed in a knapsack, given the knapsack's weight capacity and a set of items with their respective weights and values.
Language:C++ 4razuahammed707 / INT246
SOFT COMPUTING TECHNIQUES PROJECTS ARCHIVE
Language:Jupyter Notebook 4trianne24 / softcom-project
Soft Computing Project by Shoffiyah (140810160057) and Patricia (140810160065).
Language:MATLAB 47dj7 / Optimizers
Optimization algorithms, mostly in Python (both from scratch and by using modules)
Language:Python 3- Language:C 3
avestura / FuzzyOperators
📈 Desktop app for testing and ploting fuzzy operators
Language:C# 3busebircan / Business-Analytics
A Jupyter Notebook stack for example business analytics cases + a simulation study
Language:Jupyter Notebook 3(Code IQSO-MLP) nQSV-Net: a novel queuing search variant for global space search and workload modeling
Language:Python 3Efficient Time-series Forecasting using Neural Network and Opposition-based Coral Reefs Optimization
meta-heuristicscoral-reefs-optimizationopposition-based-learningneural-networkstime-series-forecastingnature-inspired-algorithmsdistributed-systemsswarm-optimization-algorithmevolutionary-algorithmssoft-computingmachine-learningdeep-learninglong-short-term-memoryrecurrent-neural-networksgenetic-algorithmparticle-swarm-optimizationwhale-optimizationharris-hawks-optimizationLanguage:Python 3fivkovic / clocksy
⏰ A machine-learning-based analog clock recognition and time detection app developed during the Soft Computing university course.
Language:Python 3MaanasVohra / Soft-Computing
Contains submissions of the Soft Computing Elective Course at IIITA.
Language:Jupyter Notebook 3projectayre / ayre
Visual Question Answering with added novel Semantic Analysis approach. Inspired in part by Armored Core 6: Fires of Rubicon.
Language:Jupyter Notebook 3sagniknitr / Soft-Computing-Lab
Lab experiments on Neural Networks for Undergraduate ECE Students, NIT Rourkela
Language:MATLAB 300Pratik-Biswas00 / College_Sixth_Semester_Labs
Hi Bondhugon! these are the work of my college Sixth Semester lab (Soft Computing, Computer Networks, and Weka). You can check the codes here.
Language:Jupyter Notebook 2Ashna-Nawar-Ahmed / 4th-year-2nd-semester
Computer Graphics Lab (Javascript, WebGL), Digital Image Processing Lab(MATLAB), Pattern Recognition Lab(Python), Soft Computing Lab(Python).
Language:Jupyter Notebook 2iamrohitsuthar / LP4
SPPU LP4 Codes - Soft Computing and Optimization Algorithms (SCOA)
Language:Python 2- Language:Jupyter Notebook 2
- Language:Jupyter Notebook 2
tnmyk / soft-computing-solver
Solve soft-computing problems step-by-step.
Language:TypeScript 2ChidhvilasTanay / SVM_WOA_BTech_Project
An Improved Support Vector Machine for medical diagnosis using Whale Optimization Algorithm ( Bio-Inspired, Meta-Heuristic ) for Hyperparameter Optimization ( C, Gamma).
Language:Jupyter Notebook 1This 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
Language:C++ 1- Language:Jupyter Notebook 1
