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A review on merging some recent techniques with artificial neural networks

In the last few years, there has been a large upswing in research activities aimed at synthesizing artificial neural networks with other well-established paradigms, like evolutionary computation, fuzzy logic, rough sets and chaos. In this paper, we briefly discuss the merits of these paradigms from artificial neural networks point of view, and we illustrate how these paradigms can be fused with the existing artificial neural network models to make the later one more efficient.