http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112052629-A

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filingDate 2020-09-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_520acf8194a50716dad06429062daef9
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publicationDate 2020-12-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-112052629-A
titleOfInvention A Distributed Optical Fiber Signal Auditory Information Decoupling Method Based on ADLASSO-SEMPSO-RBF
abstract The invention relates to a distributed optical fiber signal auditory information decoupling method based on ADLASSO-SEMPSO-RBF, is a method for thermally decoupling distributed optical fiber signals, belongs to the field of signal processing and machine learning, and is characterized in that the following steps are adopted: (1) Determine the relationship of Brillouin frequency shift with temperature and strain; (2) Determine the Lasso regression loss function; (3) Determine the inertia weight of the MPSO optimization model; (4) Determine the learning factor of the MPSO model; (5) Determine the iterative update formula of the loss function in MPSO; (6) Determine the output of the hidden layer of the RBF neural network; (7) Determine the weight matrix change from the hidden layer to the output layer; (8) Determine the output of the RBF neural network. The invention combines ADLASSO and SEMPSO methods to perform thermal decoupling processing on the temperature and strain signals of distributed optical fibers, and considers the changes of strain and stress caused by the optical fiber itself with temperature changes, and provides a thermal decoupling for distributed optical fiber signals. an effective and practical method.
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