Matches in SemOpenAlex for { <https://semopenalex.org/work/W72875249> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W72875249 abstract "An adaptive learning algorithm, called TAG (Training by Adaptive Gain), has been developed for optical implementation of large scale artificial neural networks, and its feasibility is demonstrated by small-scale experiments. For fully-interconnected single-layer neural networks TAG contains two different types of interconnections, i.e. global fixed interconnections and local adaptive gain-controls. For 2-dimensional input patterns the former may be achieved by multifacet holograms, and the latter by spatial light modulators (SLMs). For same number of input and output neurons TAG requires much less adaptive elements, and provides a possibility for large scale optical implementation at some sacrifice in performance as compared to the perceptron." @default.
- W72875249 created "2016-06-24" @default.
- W72875249 creator A5008430104 @default.
- W72875249 creator A5045747630 @default.
- W72875249 creator A5048346428 @default.
- W72875249 date "1991-01-01" @default.
- W72875249 modified "2023-09-26" @default.
- W72875249 title "OPTICAL TAG NEURAL NETWORKS FOR LARGE-SCALE IMPLEMENTATION" @default.
- W72875249 cites W1967347435 @default.
- W72875249 cites W2062674289 @default.
- W72875249 cites W2071220241 @default.
- W72875249 doi "https://doi.org/10.1016/b978-0-444-89178-5.50128-7" @default.
- W72875249 hasPublicationYear "1991" @default.
- W72875249 type Work @default.
- W72875249 sameAs 72875249 @default.
- W72875249 citedByCount "0" @default.
- W72875249 crossrefType "book-chapter" @default.
- W72875249 hasAuthorship W72875249A5008430104 @default.
- W72875249 hasAuthorship W72875249A5045747630 @default.
- W72875249 hasAuthorship W72875249A5048346428 @default.
- W72875249 hasConcept C120665830 @default.
- W72875249 hasConcept C121332964 @default.
- W72875249 hasConcept C132771110 @default.
- W72875249 hasConcept C154945302 @default.
- W72875249 hasConcept C159985019 @default.
- W72875249 hasConcept C187590223 @default.
- W72875249 hasConcept C192562407 @default.
- W72875249 hasConcept C2778755073 @default.
- W72875249 hasConcept C2779227376 @default.
- W72875249 hasConcept C41008148 @default.
- W72875249 hasConcept C50644808 @default.
- W72875249 hasConcept C52970973 @default.
- W72875249 hasConcept C60908668 @default.
- W72875249 hasConcept C62520636 @default.
- W72875249 hasConceptScore W72875249C120665830 @default.
- W72875249 hasConceptScore W72875249C121332964 @default.
- W72875249 hasConceptScore W72875249C132771110 @default.
- W72875249 hasConceptScore W72875249C154945302 @default.
- W72875249 hasConceptScore W72875249C159985019 @default.
- W72875249 hasConceptScore W72875249C187590223 @default.
- W72875249 hasConceptScore W72875249C192562407 @default.
- W72875249 hasConceptScore W72875249C2778755073 @default.
- W72875249 hasConceptScore W72875249C2779227376 @default.
- W72875249 hasConceptScore W72875249C41008148 @default.
- W72875249 hasConceptScore W72875249C50644808 @default.
- W72875249 hasConceptScore W72875249C52970973 @default.
- W72875249 hasConceptScore W72875249C60908668 @default.
- W72875249 hasConceptScore W72875249C62520636 @default.
- W72875249 hasLocation W728752491 @default.
- W72875249 hasOpenAccess W72875249 @default.
- W72875249 hasPrimaryLocation W728752491 @default.
- W72875249 hasRelatedWork W1652037931 @default.
- W72875249 hasRelatedWork W1975729190 @default.
- W72875249 hasRelatedWork W1981490199 @default.
- W72875249 hasRelatedWork W1981893462 @default.
- W72875249 hasRelatedWork W1985952319 @default.
- W72875249 hasRelatedWork W1995783465 @default.
- W72875249 hasRelatedWork W2007539405 @default.
- W72875249 hasRelatedWork W203314281 @default.
- W72875249 hasRelatedWork W2042499895 @default.
- W72875249 hasRelatedWork W2054544352 @default.
- W72875249 hasRelatedWork W2069771549 @default.
- W72875249 hasRelatedWork W2071220241 @default.
- W72875249 hasRelatedWork W2075667239 @default.
- W72875249 hasRelatedWork W2123535521 @default.
- W72875249 hasRelatedWork W2202226573 @default.
- W72875249 hasRelatedWork W2895491352 @default.
- W72875249 hasRelatedWork W3135320274 @default.
- W72875249 hasRelatedWork W3137338343 @default.
- W72875249 hasRelatedWork W3162504695 @default.
- W72875249 hasRelatedWork W3039085136 @default.
- W72875249 isParatext "false" @default.
- W72875249 isRetracted "false" @default.
- W72875249 magId "72875249" @default.
- W72875249 workType "book-chapter" @default.