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Impact of small-world topology on the performance of a feed-forward artificial neural network based on 2 different real-life problems

Yumuşak, Nejat; Erkaymaz, Okan; Ozer, Mahmut (TUBITAK Scientific & Technical Research Council Turkey, 2014)

Since feed-forward artificial neural networks (FFANNs) are the most widely used models to solve real-life problems, many studies have focused on improving their learning performances by changing the network architecture ...