Particle swarms for feedforward neural network training

@inproceedings{citeulike:2822994, abstract = {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}, author = {Mendes, R. and Cortez, P. and Rocha, M. and Neves, J. }, booktitle = {Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on}, citeulike-article-id = {2822994}, doi = {http://dx.doi.org/10.1109/IJCNN.2002.1007808}, journal = {Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on}, keywords = {02, back-propagation, compare, ea, evolutionary-algorithms, feedforward, neural-network, nn, particle-swarm-optimization, pso}, pages = {1895--1899}, posted-at = {2008-05-22 14:05:15}, priority = {2}, title = {Particle swarms for feedforward neural network training}, url = {http://dx.doi.org/10.1109/IJCNN.2002.1007808}, volume = {2}, year = {2002} }

TY - CONF ID - citeulike:2822994 L3 - citeulike-article-id:2822994 TI - Particle swarms for feedforward neural network training T2 - Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on JF - Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on VL - 2 SP - 1895 EP - 1899 N2 - 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 KW - 02 KW - back-propagation KW - compare KW - ea KW - evolutionary-algorithms KW - feedforward KW - neural-network KW - nn KW - particle-swarm-optimization KW - pso AU - Mendes, R AU - Cortez, P AU - Rocha, M AU - Neves, J PY - 2002/// UR - http://dx.doi.org/10.1109/IJCNN.2002.1007808 ER -