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A novel overlapping swarm intelligence algorithm is introduced to train the weights of an artificial neural network. Training a neural network is a difficult task that requires an effective search methodology to compute the weights along the edges of a network. The backpropagation algorithm, a gradient based method, is frequently used to train multilayer feed-forward networks. Gradient based methods might not always lead to a globally optimal solution of the network. On the other hand, trainingdoi:10.1109/sis.2011.5952566 dblp:conf/swis/PillaiS11 fatcat:jrsrec3dgfe3zfm574ze3noyge