Publication Date:
2018-06-08
Description:
Fully-parallel hardware neural network implementations may be applied to high-speed recognition, classification, and mapping tasks in areas such as vision, or can be used as low-cost self-contained units for tasks such as error detection in mechanical systems (e.g. autos). Learning is required not only to satisfy application requirements, but also to overcome hardware-imposed limitations such as reduced dynamic range of connections.
Keywords:
Cybernetics, Artificial Intelligence and Robotics
Type:
Fuzzy Logic and Neural Network Handbook
Format:
text
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