Evolutionary Robotics
A feedforward neural network is a type of artificial neural network where connections between the nodes do not form cycles. In this structure, information moves in one direction—from the input nodes, through hidden nodes, to the output nodes—allowing for straightforward data processing and pattern recognition. This architecture is fundamental to understanding how artificial neural networks function and provides the basis for more complex networks.
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