http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110232443-A

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_828d55079698345fef0f19c6406f7153
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filingDate 2019-07-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3da746052c862f51fd8dc5034ad03e93
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e75239a3a17f671da37040fe662989c8
publicationDate 2019-09-13-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-110232443-A
titleOfInvention Realize the impulsive neural networks Digital Analog Hybrid Circuits system of liquid condition machine
abstract The invention discloses a kind of impulsive neural networks Digital Analog Hybrid Circuits systems for realizing liquid condition machine, including A2S coding input layer, SNN computation layer, S2A decoding layer, on-line study and o controller and hyper parameter controller.SNN computation layer includes N number of spiking neuron circuit, is connected by interference networks restructural between neuron, and by the restructural interference networks connection of input and output between A2S coding input layer and SNN computation layer, A2S coding input layer includes M A2S coding unit;S2A decoding layer is connect by the restructural interference networks of input and output with SNN computation layer and A2S coding input layer, and S2A decoding layer includes M+N S2A decoding unit.The characteristics of hybrid circuit system combines the high advantage of the fast and digital circuit counting flexibility of analog circuit calculating speed, makes it have high computational efficiency, strong real-time and on-line study, to push application of the ANN technology in Internet of Things application scenarios.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112465134-A
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priorityDate 2019-07-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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