http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2003044829-A

Outgoing Links

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e757fd4fedc4fe825bb81b1b466a0947
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-06
filingDate 2001-07-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7b8c7f4757edc7529b9900667300ab0c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f395af3ebe62ac1fbf93ac66770abce8
publicationDate 2003-02-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber JP-2003044829-A
titleOfInvention Method and circuit for associating a norm with each component of an input pattern presented to a neural network
abstract (57) [Summary] (with correction) [PROBLEMS] An artificial neural network (AN) based on an input space mapping algorithm during distance evaluation processing N) providing a method and circuit for associating a norm with each component of the input pattern presented in N). A norm set called a "component" norm is stored in a special storage means in the ANN. ANN, It has a global memory that stores all component norms that are common to all neurons of the ANN. For each component of the input pattern, all neurons use the associated component norm during the distance estimation process, using the corresponding prototype component stored in it, to calculate the basic (or partial) distance. Execute The distance basic calculation is then combined using the "distance" norm to determine the final distance between the input pattern and the prototype stored in the neuron.
priorityDate 2001-07-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 16.