Grey wolf Optimization algorithim
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Updated
Aug 21, 2023 - MATLAB
Grey wolf Optimization algorithim
implementing 4 swarm algorithm for feature selection including : grasshoper , greywolf , salp , whale
Enhancing The Performance Of Classifiers In Detecting Abnormalities In Medical Data Using Nature Inspired Optimization Techniques
Intrusion Detection System using MBGWO for feature selection and SVM/Random Forest for classification. Loads and preprocesses data, selects key features, trains models, evaluates performance, and visualizes results to improve detection accuracy and efficiency.
SIREN: Multi-Objective Game-Theoretic Scheduler based on Memory-Driven Grey Wolf Optimization in Fog-Cloud Computing
Pattern recognition involves classifying data into categories based on features, playing a vital role in applications like image and speech recognition. This project implements a system that enhances classification accuracy by utilizing Grey Wolf Optimization for feature selection and a Gaussian Naive Bayes classifier for efficient classification.
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