Evolutionary Complex Neural Networks
نویسندگان
چکیده
Complex networks, like the scale-free model, are observed in many biological and social systems and the application of this topology to artificial neural networks (ANN) leads to interesting considerations. In this paper, we present a preliminary study on the modelling capabilities of ANN with complex topologies. We used an evolutionary algorithm (EA) to train them providing thus the paradigm of Evolutionary Complex Neural Networks (ECNN). We compared the ECNN performances to some well known techniques, including simple feed-forward evolutionary and Back Propagation trained neural networks, on several well established benchmarks and experimentation show promising results.
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