Matches in SemOpenAlex for { <https://semopenalex.org/work/W1002282472> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W1002282472 abstract "This paper discusses a new approach for Complex Autoregressive(CAR) model parameter estimation using Complex-Valued Neural Network (CVNN) technique. The CAR coefficients are computed from the adaptive weights and linear coefficients of the multi layer CVNN. The performance of the proposed technique has been evaluated using simulatedComplex-Valued Data (CVD) with three different types oflinear activation functions. The results show that the proposed method can accurately determine CAR coefficients fora properly trained CVNN." @default.
- W1002282472 created "2016-06-24" @default.
- W1002282472 creator A5036295016 @default.
- W1002282472 creator A5055416012 @default.
- W1002282472 creator A5079839177 @default.
- W1002282472 date "2009-06-24" @default.
- W1002282472 modified "2023-10-13" @default.
- W1002282472 title "Determination of autoregressive coefficients using Complex-Valued Neural Network" @default.
- W1002282472 hasPublicationYear "2009" @default.
- W1002282472 type Work @default.
- W1002282472 sameAs 1002282472 @default.
- W1002282472 citedByCount "0" @default.
- W1002282472 crossrefType "journal-article" @default.
- W1002282472 hasAuthorship W1002282472A5036295016 @default.
- W1002282472 hasAuthorship W1002282472A5055416012 @default.
- W1002282472 hasAuthorship W1002282472A5079839177 @default.
- W1002282472 hasConcept C105795698 @default.
- W1002282472 hasConcept C11413529 @default.
- W1002282472 hasConcept C119857082 @default.
- W1002282472 hasConcept C154945302 @default.
- W1002282472 hasConcept C159877910 @default.
- W1002282472 hasConcept C163175372 @default.
- W1002282472 hasConcept C28826006 @default.
- W1002282472 hasConcept C33923547 @default.
- W1002282472 hasConcept C41008148 @default.
- W1002282472 hasConcept C50644808 @default.
- W1002282472 hasConceptScore W1002282472C105795698 @default.
- W1002282472 hasConceptScore W1002282472C11413529 @default.
- W1002282472 hasConceptScore W1002282472C119857082 @default.
- W1002282472 hasConceptScore W1002282472C154945302 @default.
- W1002282472 hasConceptScore W1002282472C159877910 @default.
- W1002282472 hasConceptScore W1002282472C163175372 @default.
- W1002282472 hasConceptScore W1002282472C28826006 @default.
- W1002282472 hasConceptScore W1002282472C33923547 @default.
- W1002282472 hasConceptScore W1002282472C41008148 @default.
- W1002282472 hasConceptScore W1002282472C50644808 @default.
- W1002282472 hasLocation W10022824721 @default.
- W1002282472 hasOpenAccess W1002282472 @default.
- W1002282472 hasPrimaryLocation W10022824721 @default.
- W1002282472 hasRelatedWork W1485987544 @default.
- W1002282472 hasRelatedWork W1527474739 @default.
- W1002282472 hasRelatedWork W1541403407 @default.
- W1002282472 hasRelatedWork W1887939801 @default.
- W1002282472 hasRelatedWork W1903916650 @default.
- W1002282472 hasRelatedWork W1980077035 @default.
- W1002282472 hasRelatedWork W1994775132 @default.
- W1002282472 hasRelatedWork W2001368494 @default.
- W1002282472 hasRelatedWork W2013856973 @default.
- W1002282472 hasRelatedWork W2046138726 @default.
- W1002282472 hasRelatedWork W2053143856 @default.
- W1002282472 hasRelatedWork W2144485361 @default.
- W1002282472 hasRelatedWork W2146059660 @default.
- W1002282472 hasRelatedWork W2150732662 @default.
- W1002282472 hasRelatedWork W2269869612 @default.
- W1002282472 hasRelatedWork W2285516787 @default.
- W1002282472 hasRelatedWork W2356658161 @default.
- W1002282472 hasRelatedWork W2724747603 @default.
- W1002282472 hasRelatedWork W2750399185 @default.
- W1002282472 hasRelatedWork W602350781 @default.
- W1002282472 isParatext "false" @default.
- W1002282472 isRetracted "false" @default.
- W1002282472 magId "1002282472" @default.
- W1002282472 workType "article" @default.