Particle swarms for feedforward neural network training
Rui Mendes, Paulo Cortez, Miguel Rocha, José Neves · 2003
Particle swarm is an optimization paradigm for real-valued functions, based on the social dynamics of group interaction. We propose its application to the training of neural networks. Comparative tests were carried out, for classification and regression tasks.