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Abstract.Two sets of studies examined the viability of using bat-like sonar input for artificial neural networks in complex pattern recognition tasks. In the first set of studies, a sonar neural network was required to perform two face recognition tasks. In the first task, the network was trained to recognize different faces regardless of facial expressions. Following training, the network was tested...
A neural network was trained to recognize two three-dimensional shapes independent of orientation, based on echoes of ultrasonic pulses similar to those used by an echolocating bat, Eptesicus fuscus. Following supervised learning, the network was required to generalize and recognize echoes from the shapes at novel orientations. The representation of the echo was manipulated to explore how information...
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