Training of Neural Network using Particle Swarm Optimization
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Updated
Jan 16, 2019 - Python
Training of Neural Network using Particle Swarm Optimization
Binary Particle Swarm Optimization applied to the unit commitment problem in an electric microgrid.
A Julia package for consensus-based optimisation
The R package geotopOtim2 is a plugin for the automatic calibration and sensitivity analisis of GEOtop 2.x hydrological model, based on the "Particle Swarm Optimisation" approach and the LHOAT "Latin-Hypercube One-factor-At-a-Time" approach.
A sample project for tasks associated with Evolutionary Algorithms course (Particle Swarm Optimisation or Butterfly Optimisation)
Practice using Python genetic algorithm/ particle swarm optimization libraries to train a simple multilayer perceptron.
Particle Swarm Optimisation, Genetic Algorithm/Programming for (Gradient-Free) Neural Network Optimisation
Hobbyist Library Combining Machine Learning with Heuristics, Tested Across Supervised and Reinforcement Domains
A plotting package for ConsensusBasedX.jl
A Julia package for consensus-based optimisation
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