Training each neuron of a multilayer perceptron with its own particle-swarm search, instead of using backpropagation, reaches accuracy comparable to gradient-based training on two real datasets and several synthetic ones.
Supervised Learning in Ne ural Networks without Feed- back Networks
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Training neural networks without backpropagation using particles
Training each neuron of a multilayer perceptron with its own particle-swarm search, instead of using backpropagation, reaches accuracy comparable to gradient-based training on two real datasets and several synthetic ones.