Navigational control of robotic systems and other computer-implemented processes using developmental network with turing machine learning
Abstract:
The Developmental Network incorporates a Turing Machine that injects teaching instructions directly into the skull-closed network. The Developmental Network can also autonomously learn directly from the natural world without the need for a human to encode its input and output. The neural network so configured can be used as a controller for robotic and other computer control applications where the neural network is organized into plural X-Y-Z areas receiving signals from sensors and providing signals to effectors.
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