Matches in SemOpenAlex for { <https://semopenalex.org/work/W2171867284> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2171867284 endingPage "313" @default.
- W2171867284 startingPage "307" @default.
- W2171867284 abstract "In this work the kernel Adaline algorithm is presented. The new algorithm is a generalisation of Widrow's and Hoff's linear Adaline, and allows to approximate non-linear functional relationships. Similar to the linear adaline, the proposed neural network algorithm minimises the least-mean-squared (LMS) cost function. It can be guaranteed that the kernel Adaline's cost function is always convex, therefore the method does not suffer from local optima as known in conventional neural networks. The algorithm uses potential function operators due to Aizerman and colleagues to map the training points in a first stage into a very high dimensional non-linear “feature” space. In the second stage the LMS solution in this space is determined by the algorithm. Weight decay regularisation allows to avoid overfitting effects, and can be performed efficiently. The kernel Adaline algorithm works in a sequential fashion, is conceptually simple, and numerically robust. The method shows a high performace in tasks like one dimensional curve fitting, system identification, and speech processing." @default.
- W2171867284 created "2016-06-24" @default.
- W2171867284 creator A5036673103 @default.
- W2171867284 creator A5042852708 @default.
- W2171867284 date "1999-10-01" @default.
- W2171867284 modified "2023-09-27" @default.
- W2171867284 title "A kernel-based Adaline for function approximation" @default.
- W2171867284 cites W137941959 @default.
- W2171867284 cites W1483918101 @default.
- W2171867284 cites W1496612019 @default.
- W2171867284 cites W1526146785 @default.
- W2171867284 cites W1535810436 @default.
- W2171867284 cites W1680579736 @default.
- W2171867284 cites W2008353316 @default.
- W2171867284 cites W2061055380 @default.
- W2171867284 cites W2095461998 @default.
- W2171867284 cites W2103676795 @default.
- W2171867284 cites W2119821739 @default.
- W2171867284 cites W68701967 @default.
- W2171867284 doi "https://doi.org/10.1016/s1088-467x(99)00025-6" @default.
- W2171867284 hasPublicationYear "1999" @default.
- W2171867284 type Work @default.
- W2171867284 sameAs 2171867284 @default.
- W2171867284 citedByCount "18" @default.
- W2171867284 countsByYear W21718672842013 @default.
- W2171867284 countsByYear W21718672842014 @default.
- W2171867284 countsByYear W21718672842018 @default.
- W2171867284 countsByYear W21718672842019 @default.
- W2171867284 countsByYear W21718672842020 @default.
- W2171867284 crossrefType "journal-article" @default.
- W2171867284 hasAuthorship W2171867284A5036673103 @default.
- W2171867284 hasAuthorship W2171867284A5042852708 @default.
- W2171867284 hasConcept C11413529 @default.
- W2171867284 hasConcept C114614502 @default.
- W2171867284 hasConcept C122280245 @default.
- W2171867284 hasConcept C12267149 @default.
- W2171867284 hasConcept C126255220 @default.
- W2171867284 hasConcept C134306372 @default.
- W2171867284 hasConcept C14036430 @default.
- W2171867284 hasConcept C154945302 @default.
- W2171867284 hasConcept C22019652 @default.
- W2171867284 hasConcept C33923547 @default.
- W2171867284 hasConcept C41008148 @default.
- W2171867284 hasConcept C50644808 @default.
- W2171867284 hasConcept C62799726 @default.
- W2171867284 hasConcept C74193536 @default.
- W2171867284 hasConcept C78458016 @default.
- W2171867284 hasConcept C80884492 @default.
- W2171867284 hasConcept C86803240 @default.
- W2171867284 hasConceptScore W2171867284C11413529 @default.
- W2171867284 hasConceptScore W2171867284C114614502 @default.
- W2171867284 hasConceptScore W2171867284C122280245 @default.
- W2171867284 hasConceptScore W2171867284C12267149 @default.
- W2171867284 hasConceptScore W2171867284C126255220 @default.
- W2171867284 hasConceptScore W2171867284C134306372 @default.
- W2171867284 hasConceptScore W2171867284C14036430 @default.
- W2171867284 hasConceptScore W2171867284C154945302 @default.
- W2171867284 hasConceptScore W2171867284C22019652 @default.
- W2171867284 hasConceptScore W2171867284C33923547 @default.
- W2171867284 hasConceptScore W2171867284C41008148 @default.
- W2171867284 hasConceptScore W2171867284C50644808 @default.
- W2171867284 hasConceptScore W2171867284C62799726 @default.
- W2171867284 hasConceptScore W2171867284C74193536 @default.
- W2171867284 hasConceptScore W2171867284C78458016 @default.
- W2171867284 hasConceptScore W2171867284C80884492 @default.
- W2171867284 hasConceptScore W2171867284C86803240 @default.
- W2171867284 hasIssue "4" @default.
- W2171867284 hasLocation W21718672841 @default.
- W2171867284 hasOpenAccess W2171867284 @default.
- W2171867284 hasPrimaryLocation W21718672841 @default.
- W2171867284 hasRelatedWork W1532949409 @default.
- W2171867284 hasRelatedWork W1535810436 @default.
- W2171867284 hasRelatedWork W1577573078 @default.
- W2171867284 hasRelatedWork W1581952289 @default.
- W2171867284 hasRelatedWork W1645596409 @default.
- W2171867284 hasRelatedWork W2062386844 @default.
- W2171867284 hasRelatedWork W2077787182 @default.
- W2171867284 hasRelatedWork W2088683172 @default.
- W2171867284 hasRelatedWork W2111347420 @default.
- W2171867284 hasRelatedWork W2150681629 @default.
- W2171867284 hasRelatedWork W2156909104 @default.
- W2171867284 hasRelatedWork W2366122389 @default.
- W2171867284 hasRelatedWork W2376693437 @default.
- W2171867284 hasRelatedWork W2377319871 @default.
- W2171867284 hasRelatedWork W2389392531 @default.
- W2171867284 hasRelatedWork W2391528477 @default.
- W2171867284 hasRelatedWork W2540630020 @default.
- W2171867284 hasRelatedWork W2986825876 @default.
- W2171867284 hasRelatedWork W1892244003 @default.
- W2171867284 hasRelatedWork W3122455256 @default.
- W2171867284 hasVolume "3" @default.
- W2171867284 isParatext "false" @default.
- W2171867284 isRetracted "false" @default.
- W2171867284 magId "2171867284" @default.
- W2171867284 workType "article" @default.