Michael Zadok

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This study explores evolutionary training of Counter-Propagation Neural-networks (CPNs), for the navigation of a robot in an environment that differs from the trained one. In contrast to most Evolutionary Robotics (ER) studies, where either an Elman or a simple feed-forward network is used, here we employ a Counter-Propagation Network (CPN) [1]. CPN(More)
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