Matches in SemOpenAlex for { <https://semopenalex.org/work/W3003722371> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W3003722371 abstract "Artificial Neural Networks (ANNs) have been successfully applied to solve various classification problems. To perform the classification task,neural network training is essential. Multiple parameters are associated with neural network training and setting these parameters are a very challenging task. Several meta-heuristic algorithms are employed to train the network. In this paper, Particle Swarm optimization (PSO) is used to train the network to optimize the training error while solving a classification problem. Performance of the proposed method is evaluated on ten different data sets which are in supervised. The experimental result shows a significant performance of the proposed methodology compared to traditional neural network training approaches." @default.
- W3003722371 created "2020-02-07" @default.
- W3003722371 creator A5024596909 @default.
- W3003722371 creator A5055405777 @default.
- W3003722371 creator A5055489209 @default.
- W3003722371 date "2019-06-01" @default.
- W3003722371 modified "2023-09-25" @default.
- W3003722371 title "An Improved Particle Swarm optimization based Neural Network Training for Classification" @default.
- W3003722371 cites W1524673385 @default.
- W3003722371 cites W1659561622 @default.
- W3003722371 cites W1859314164 @default.
- W3003722371 cites W2085540825 @default.
- W3003722371 cites W2121342318 @default.
- W3003722371 cites W2151471048 @default.
- W3003722371 cites W2165079122 @default.
- W3003722371 cites W2169245194 @default.
- W3003722371 cites W2606210663 @default.
- W3003722371 cites W2772541234 @default.
- W3003722371 doi "https://doi.org/10.1109/tensymp46218.2019.8971232" @default.
- W3003722371 hasPublicationYear "2019" @default.
- W3003722371 type Work @default.
- W3003722371 sameAs 3003722371 @default.
- W3003722371 citedByCount "0" @default.
- W3003722371 crossrefType "proceedings-article" @default.
- W3003722371 hasAuthorship W3003722371A5024596909 @default.
- W3003722371 hasAuthorship W3003722371A5055405777 @default.
- W3003722371 hasAuthorship W3003722371A5055489209 @default.
- W3003722371 hasConcept C119857082 @default.
- W3003722371 hasConcept C121332964 @default.
- W3003722371 hasConcept C124101348 @default.
- W3003722371 hasConcept C127413603 @default.
- W3003722371 hasConcept C153294291 @default.
- W3003722371 hasConcept C154945302 @default.
- W3003722371 hasConcept C173801870 @default.
- W3003722371 hasConcept C201995342 @default.
- W3003722371 hasConcept C2777211547 @default.
- W3003722371 hasConcept C2780451532 @default.
- W3003722371 hasConcept C41008148 @default.
- W3003722371 hasConcept C50644808 @default.
- W3003722371 hasConcept C85617194 @default.
- W3003722371 hasConceptScore W3003722371C119857082 @default.
- W3003722371 hasConceptScore W3003722371C121332964 @default.
- W3003722371 hasConceptScore W3003722371C124101348 @default.
- W3003722371 hasConceptScore W3003722371C127413603 @default.
- W3003722371 hasConceptScore W3003722371C153294291 @default.
- W3003722371 hasConceptScore W3003722371C154945302 @default.
- W3003722371 hasConceptScore W3003722371C173801870 @default.
- W3003722371 hasConceptScore W3003722371C201995342 @default.
- W3003722371 hasConceptScore W3003722371C2777211547 @default.
- W3003722371 hasConceptScore W3003722371C2780451532 @default.
- W3003722371 hasConceptScore W3003722371C41008148 @default.
- W3003722371 hasConceptScore W3003722371C50644808 @default.
- W3003722371 hasConceptScore W3003722371C85617194 @default.
- W3003722371 hasLocation W30037223711 @default.
- W3003722371 hasOpenAccess W3003722371 @default.
- W3003722371 hasPrimaryLocation W30037223711 @default.
- W3003722371 hasRelatedWork W1846118733 @default.
- W3003722371 hasRelatedWork W1966295103 @default.
- W3003722371 hasRelatedWork W2012027153 @default.
- W3003722371 hasRelatedWork W2021605732 @default.
- W3003722371 hasRelatedWork W2029522843 @default.
- W3003722371 hasRelatedWork W2095539871 @default.
- W3003722371 hasRelatedWork W2099887446 @default.
- W3003722371 hasRelatedWork W2100141243 @default.
- W3003722371 hasRelatedWork W2110576630 @default.
- W3003722371 hasRelatedWork W2163166720 @default.
- W3003722371 hasRelatedWork W2277925626 @default.
- W3003722371 hasRelatedWork W2554090223 @default.
- W3003722371 hasRelatedWork W2608888044 @default.
- W3003722371 hasRelatedWork W2736436689 @default.
- W3003722371 hasRelatedWork W2794373931 @default.
- W3003722371 hasRelatedWork W2810449520 @default.
- W3003722371 hasRelatedWork W2892269104 @default.
- W3003722371 hasRelatedWork W2978475941 @default.
- W3003722371 hasRelatedWork W3101469945 @default.
- W3003722371 hasRelatedWork W3169949064 @default.
- W3003722371 isParatext "false" @default.
- W3003722371 isRetracted "false" @default.
- W3003722371 magId "3003722371" @default.
- W3003722371 workType "article" @default.