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pypi.org : graforvfl
GrafoRVFL: A Gradient-Free Optimization Framework for Boosting Random Vector Functional Link Network
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purl: pkg:pypi/graforvfl
Keywords: random vector functional link, machine learning, artificial intelligence, deep learning, neural networks, single hidden layer network, random projection, RVFL, feed-forward neural network, artificial neural network, classification, regression, supervised learning, online learning, generalization, optimization algorithms, Kernel RVFL, Cross-validationGenetic algorithm (GA), Particle swarm optimization (PSO), Ant colony optimization (ACO), Differential evolution (DE), Simulated annealing, Grey wolf optimizer (GWO), Whale Optimization Algorithm (WOA), confusion matrix, recall, precision, accuracy, pearson correlation coefficient (PCC), spearman correlation coefficient (SCC), Global optimization, Convergence analysis, Search space exploration, Local search, Computational intelligence, Robust optimization, metaheuristic, metaheuristic algorithms, nature-inspired computing, nature-inspired algorithms, swarm-based computation, metaheuristic-based RVFL, gradient-free optimizationgradient-free optimized RVFL, metaheuristic-optimized RVFL, Performance analysis, Intelligent optimization, Simulations, artificial-intelligence, evolutionary-computing, genetic-algorithm, global-search, gradient-free-based-rvfl, machine-learning, mealpy, metaheuristic-algorithm, metaheuristics, nature-inspired-algorithms, neural-network, optimization-algorithms, particle-swarm-optimization, random-vector-functional-link-neural-network, rvfl-networks, swarm-based-intelligence, whale-optimization-algorithm
License: GPL-3.0
Latest release: 6 months ago
First release: 6 months ago
Downloads: 130 last month
Stars: 3 on GitHub
Forks: 0 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 6 days ago