ARCHITECTURE FOR IMPLEMENTING AN IMPROVED NEURAL NETWORK
First Claim
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1. An architecture for implementing a neural network, comprising:
- a plurality of artificial neurons;
at least some of the plurality of artificial neurons comprising a control device and a plurality of memory devices, in which the control device comprises an reader mechanism and at least one sensor, and the memory devices comprise a tag device having a memory component that is within communications range of the control device; and
the plurality of the artificial neurons being networked together in a peer-to-peer network.
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Abstract
Disclosed is an improved approach to implement artificial neural networks. According to some approaches, an advanced neural network is implemented using an internet-of-things methodology, in which a large number of ordinary items having RFID technology are utilized as the vast infrastructure of a neural network.
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Citations
38 Claims
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1. An architecture for implementing a neural network, comprising:
a plurality of artificial neurons; at least some of the plurality of artificial neurons comprising a control device and a plurality of memory devices, in which the control device comprises an reader mechanism and at least one sensor, and the memory devices comprise a tag device having a memory component that is within communications range of the control device; and the plurality of the artificial neurons being networked together in a peer-to-peer network. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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26. A method for implementing a neural network, comprising:
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distributing a plurality of artificial neurons as distributed devices, wherein the plurality of artificial neurons comprise short range communications technology; and networking the artificial neurons together as part of an adaptable peer-to-peer network. - View Dependent Claims (27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38)
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Specification